examples of good and bad research questions

Examples of Good and Bad Research Questions

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So, you've got a research grant in your sights or you've been admitted to your school of choice, and you now have to write up a proposal for the work you want to perform. You know your topic, have done some reading, and you've got a nice quiet place where nobody will bother you while you try to decide where you'll go from here. The question looms:     

What Is a Research Question?

Your research question will be your focus, the sentence you refer to when you need to remember why you're researching. It will encapsulate what drives you and be something your field needs an answer for but doesn't have yet. 

Whether it seeks to describe a phenomenon, compare things, or show how one variable influences another, a research question always does the same thing: it guides research that will be judged based on how well it addresses the question.

So, what makes a research question good or bad? This article will provide examples of good and bad research questions and use them to illustrate both of their common characteristics so that you can evaluate your research question and improve it to suit your needs.

How to Choose a Research Question

At the start of your research paper, you might be wondering, "What is a good research question?"

A good research question focuses on one researchable problem relevant to your subject area.

To write a research paper , first make sure you have a strong, relevant topic. Then, conduct some preliminary research around that topic. It's important to complete these two initial steps because your research question will be formulated based on this research.

With this in mind, let's review the steps that help us write good research questions.

1. Select a Relevant Topic

When selecting a topic to form a good research question, it helps to start broad. What topics interest you most? It helps when you care about the topic you're researching!

Have you seen a movie recently that you enjoyed? How about a news story? If you can't think of anything, research different topics on Google to see which ones intrigue you the most and can apply to your assignment.

Also, before settling on a research topic, make sure it's relevant to your subject area or to society as a whole. This is an important aspect of developing your research question, because, in general, your research should add value to existing knowledge .

2. Thoroughly Research the Topic

Now that you've chosen a broad but relevant topic for your paper, research it thoroughly to see which avenues you might want to explore further.

For example, let's say you decide on the broad topic of search engines. During this research phase, try skimming through sources that are unbiased, current, and relevant, such as academic journals or sources in your university library.

Check out: 21 Legit Research Databases for Free Articles in 2022

Pay close attention to the subtopics that come up during research, such as the following: Which search engines are the most commonly used? Why do some search engines dominate specific regions? How do they really work or affect the research of scientists and scholars?

Be on the lookout for any gaps or limitations in the research. Identifying the groups or demographics that are most affected by your topic is also helpful, in case that's relevant to your work.

3. Narrow Your Topic to a Single Point

Now that you've spent some time researching your broad topic, it's time to narrow it down to one specific subject. A topic like search engines is much too broad to develop a research paper around. What specifically about search engines could you explore?

When refining your topic, be careful not to be either too narrow or too broad. You can ask yourself the following questions during this phase:

Can I cover this topic within the scope of my paper, or would it require longer, heavier research? (In this case, you'd need to be more specific.)

Conversely, is there not enough research about my topic to write a paper? (In this case, you'd need to be broader.)

Keep these things in mind as you narrow down your topic. You can always expand your topic later if you have the time and research materials.

4. Identify a Problem Related to Your Topic

When narrowing down your topic, it helps to identify a single issue or problem on which to base your research. Ask open-ended questions, such as why is this topic important to you or others? Essentially, have you identified the answer to "so what"?

For example, after asking these questions about our search engine topic, we might focus only on the issue of how search engines affect research in a specific field. Or, more specifically, how search engine algorithms manipulate search results and prevent us from finding the critical research we need.

Asking these "so what" questions will help us brainstorm examples of research questions we can ask in our field of study.

5. Turn Your Problem into a Question

Now that you have your main issue or problem, it's time to write your research question. Do this by reviewing your topic's big problem and formulating a question that your research will answer.

For example, ask, "so what?" about your search engine topic. You might realize that the bigger issue is that you, as a researcher, aren't getting the relevant information you need from search engines.

How can we use this information to develop a research question? We might phrase the research question as follows:

"What effect does the Google search engine algorithm have on online research conducted in the field of neuroscience?"

Note how specific we were with the type of search engine, the field of study, and the research method. It's also important to remember that your research question should not have an easy yes or no answer. It should be a question with a complex answer that can be discovered through research and analysis.

Perfect Your Paper

Hire an expert academic editor , or get a free sample, how to find good research topics for your research.

It can be fun to browse a myriad of research topics for your paper, but there are a few important things to keep in mind.

First, make sure you've understood your assignment. You don't want to pick a topic that's not relevant to the assignment goal. Your instructor can offer good topic suggestions as well, so if you get stuck, ask them!

Next, try to search for a broad topic that interests you. Starting broad gives you more options to work with. Some research topic examples include infectious diseases, European history, and smartphones .

Then, after some research, narrow your topic to something specific by extracting a single element from that subject. This could be a current issue on that topic, a major question circulating around that topic, or a specific region or group of people affected by that topic.

It's important that your research topic is focused. Focus lets you clearly demonstrate your understanding of the topic with enough details and examples to fit the scope of your project.

For example, if Jane Austen is your research topic, that might be too broad for a five-page paper! However, you could narrow it down to a single book by Austen or a specific perspective.

To keep your research topic focused, try creating a mind map. This is where you put your broad topic in a circle and create a few circles around it with similar ideas that you uncovered during your research. 

Mind maps can help you visualize the connections between topics and subtopics. This could help you simplify the process of eliminating broad or uninteresting topics or help you identify new relationships between topics that you didn't previously notice. 

Keeping your research topic focused will help you when it comes to writing your research question!

2. Researchable

A researchable question should have enough available sources to fill the scope of your project without being overwhelming. If you find that the research is never-ending, you're going to be very disappointed at the end of your paper—because you won't be able to fit everything in! If you are in this fix, your research question is still too broad.

Search for your research topic's keywords in trusted sources such as journals, research databases , or dissertations in your university library. Then, assess whether the research you're finding is feasible and realistic to use.

If there's too much material out there, narrow down your topic by industry, region, or demographic. Conversely, if you don't find enough research on your topic, you'll need to go broader. Try choosing two works by two different authors instead of one, or try choosing three poems by a single author instead of one.

3. Reasonable

Make sure that the topic for your research question is a reasonable one to pursue. This means it's something that can be completed within your timeframe and offers a new perspective on the research.

Research topics often end up being summaries of a topic, but that's not the goal. You're looking for a way to add something relevant and new to the topic you're exploring. To do so, here are two ways to uncover strong, reasonable research topics as you conduct your preliminary research:

Check the ends of journal articles for sections with questions for further discussion. These make great research topics because they haven't been explored!

Check the sources of articles in your research. What points are they bringing up? Is there anything new worth exploring? Sometimes, you can use sources to expand your research and more effectively narrow your topic.

4. Specific

For your research topic to stand on its own, it should be specific. This means that it shouldn't be easily mistaken for another topic that's already been written about.

If you are writing about a topic that has been written about, such as consumer trust, it should be distinct from everything that's been written about consumer trust so far.

There is already a lot of research done on consumer trust in specific products or services in the US. Your research topic could focus on consumer trust in products and services in a different region, such as a developing country.

If your research feels similar to existing articles, make sure to drive home the differences.

Whether it's developed for a thesis or another assignment, a good research topic question should be complex enough to let you expand on it within the scope of your paper.

For example, let's say you took our advice on researching a topic you were interested in, and that topic was a new Bridezilla reality show. But when you began to research it, you couldn't find enough information on it, or worse, you couldn't find anything scholarly.

In short, Bridezilla reality shows aren't complex enough to build your paper on. Instead of broadening the topic to all reality TV shows, which might be too overwhelming, you might consider choosing a topic about wedding reality TV shows specifically.

This would open you up to more research that could be complex enough to write a paper on without being too overwhelming or narrow.

6. Relevant

Because research papers aim to contribute to existing research that's already been explored, the relevance of your topic within your subject area can't be understated.

Your research topic should be relevant enough to advance understanding in a specific area of study and build on what's already been researched. It shouldn't duplicate research or try to add to it in an irrelevant way.

For example, you wouldn't choose a research topic like malaria transmission in Northern Siberia if the mosquito that transmits malaria lives in Africa. This research topic simply isn't relevant to the typical location where malaria is transmitted, and the research could be considered a waste of resources.

Do Research Questions Differ between the Humanities, Social Sciences, and Hard Sciences?

The art and science of asking questions is the source of all knowledge. 

–Thomas Berger

First, a bit of clarification: While there are constants among research questions, no matter what you're writing about, you will use different standards for the humanities and social sciences than for hard sciences, such as chemistry. The former depends on subjectivity and the perspective of the researcher, while the latter requires answers that must be empirically tested and replicable.

For instance, if you research Charles Dickens' writing influences, you will have to explain your stance and observations to the reader before supporting them with evidence. If you research improvements in superconductivity in room-temperature material, the reader will not only need to understand and believe you but also duplicate your work to confirm that you are correct.

Do Research Questions Differ between the Different Types of Research?

Research questions help you clarify the path your research will take. They are answered in your research paper and usually stated in the introduction.

There are two main types of research—qualitative and quantitative. 

If you're conducting quantitative research, it means you're collecting numerical, quantifiable data that can be measured, such as statistical information.

Qualitative research aims to understand experiences or phenomena, so you're collecting and analyzing non-numerical data, such as case studies or surveys.

The structure and content of your research question will change depending on the type of research you're doing. However, the definition and goal of a research question remains the same: a specific, relevant, and focused inquiry that your research answers.

Below, we'll explore research question examples for different types of research.

Comparative Research

Comparative research questions are designed to determine whether two or more groups differ based on a dependent variable. These questions allow researchers to uncover similarities and differences between the groups tested.

Because they compare two groups with a dependent variable, comparative research questions usually start with "What is the difference in…"

A strong comparative research question example might be the following:

"What is the difference in the daily caloric intake of American men and women?" ( Source .)

In the above example, the dependent variable is daily caloric intake and the two groups are American men and women.

A poor comparative research example might not aim to explore the differences between two groups or it could be too easily answered, as in the following example:

"Does daily caloric intake affect American men and women?"

Always ensure that your comparative research question is focused on a comparison between two groups based on a dependent variable.

Descriptive Research

Descriptive research questions help you gather data about measurable variables. Typically, researchers asking descriptive research questions aim to explain how, why, or what.

These research questions tend to start with the following:

What percentage?

How likely?

What proportion?

For example, a good descriptive research question might be as follows:

"What percentage of college students have felt depressed in the last year?" ( Source .)

A poor descriptive research question wouldn't be as precise. This might be something similar to the following:

"What percentage of teenagers felt sad in the last year?"

The above question is too vague, and the data would be overwhelming, given the number of teenagers in the world. Keep in mind that specificity is key when it comes to research questions!

Correlational Research

Correlational research measures the statistical relationship between two variables, with no influence from any other variable. The idea is to observe the way these variables interact with one another. If one changes, how is the other affected?

When it comes to writing a correlational research question, remember that it's all about relationships. Your research would encompass the relational effects of one variable on the other.

For example, having an education (variable one) might positively or negatively correlate with the rate of crime (variable two) in a specific city. An example research question for this might be written as follows:

"Is there a significant negative correlation between education level and crime rate in Los Angeles?"

A bad correlational research question might not use relationships at all. In fact, correlational research questions are often confused with causal research questions, which imply cause and effect. For example:

"How does the education level in Los Angeles influence the crime rate?"

The above question wouldn't be a good correlational research question because the relationship between Los Angeles and the crime rate is already inherent in the question—we are already assuming the education level in Los Angeles affects the crime rate in some way.

Be sure to use the right format if you're writing a correlational research question.

How to Avoid a Bad Question

Ask the right questions, and the answers will always reveal themselves. 

–Oprah Winfrey

If finding the right research question was easy, doing research would be much simpler. However, research does not provide useful information if the questions have easy answers (because the questions are too simple, narrow, or general) or answers that cannot be reached at all (because the questions have no possible answer, are too costly to answer, or are too broad in scope).

For a research question to meet scientific standards, its answer cannot consist solely of opinion (even if the opinion is popular or logically reasoned) and cannot simply be a description of known information.

However, an analysis of what currently exists can be valuable, provided that there is enough information to produce a useful analysis. If a scientific research question offers results that cannot be tested, measured, or duplicated, it is ineffective.

Bad Research Question Examples

Here are examples of bad research questions with brief explanations of what makes them ineffective for the purpose of research.

"What's red and bad for your teeth?"

This question has an easy, definitive answer (a brick), is too vague (What shade of red? How bad?), and isn't productive.

"Do violent video games cause players to act violently?"

This question also requires a definitive answer (yes or no), does not invite critical analysis, and allows opinion to influence or provide the answer.

"How many people were playing balalaikas while living in Moscow on July 8, 2019?"

This question cannot be answered without expending excessive amounts of time, money, and resources. It is also far too specific. Finally, it doesn't seek new insight or information, only a number that has no conceivable purpose.

How to Write a Research Question

The quality of a question is not judged by its complexity but by the complexity of thinking it provokes. 

–Joseph O'Connor

What makes a good research question? A good research question topic is clear and focused. If the reader has to waste time wondering what you mean, you haven't phrased it effectively.

It also needs to be interesting and relevant, encouraging the reader to come along with you as you explain how you reached an answer. 

Finally, once you explain your answer, there should be room for astute or interested readers to use your question as a basis to conduct their own research. If there is nothing for you to say in your conclusion beyond "that's the truth," then you're setting up your research to be challenged.

Good Research Question Examples

Here are some examples of good research questions. Take a look at the reasoning behind their effectiveness.

"What are the long-term effects of using activated charcoal in place of generic toothpaste for routine dental care?"

This question is specific enough to prevent digressions, invites measurable results, and concerns information that is both useful and interesting. Testing could be conducted in a reasonable time frame, without excessive cost, and would allow other researchers to follow up, regardless of the outcome.

"Why do North American parents feel that violent video game content has a negative influence on their children?"

While this does carry an assumption, backing up that assumption with observable proof will allow for analysis of the question, provide insight on a significant subject, and give readers something to build on in future research. 

It also discusses a topic that is recognizably relevant. (In 2022, at least. If you are reading this article in the future, there might already be an answer to this question that requires further analysis or testing!)

"To what extent has Alexey Arkhipovsky's 2013 album, Insomnia , influenced gender identification in Russian culture?"

While it's tightly focused, this question also presents an assumption (that the music influenced gender identification) and seeks to prove or disprove it. This allows for the possibilities that the music had no influence at all or had a demonstrable impact.

Answering the question will involve explaining the context and using many sources so that the reader can follow the logic and be convinced of the author's findings. The results (be they positive or negative) will also open the door to countless other studies.

How to Turn a Bad Research Question into a Good One

If something is wrong, fix it if you can. But train yourself not to worry. Worry never fixes anything.

–Ernest Hemingway

How do you turn something that won't help your research into something that will? Start by taking a step back and asking what you are expected to produce. While there are any number of fascinating subjects out there, a grant paying you to examine income disparity in Japan is not going to warrant an in-depth discussion of South American farming pollution. 

Use these expectations to frame your initial topic and the subject that your research should be about, and then conduct preliminary research into that subject. If you spot a knowledge gap while researching, make a note of it, and add it to your list of possible questions.

If you already have a question that is relevant to your topic but has flaws, identify the issues and see if they can be addressed. In addition, if your question is too broad, try to narrow it down enough to make your research feasible.

Especially in the sciences, if your research question will not produce results that can be replicated, determine how you can change it so a reader can look at what you've done and go about repeating your actions so they can see that you are right.

Moreover, if you would need 20 years to produce results, consider whether there is a way to tighten things up to produce more immediate results. This could justify future research that will eventually reach that lofty goal.

If all else fails, you can use the flawed question as a subtopic and try to find a better question that fits your goals and expectations.

Parting Advice

When you have your early work edited, don't be surprised if you are told that your research question requires revision. Quite often, results or the lack thereof can force a researcher to shift their focus and examine a less significant topic—or a different facet of a known issue—because testing did not produce the expected result. 

If that happens, take heart. You now have the tools to assess your question, find its flaws, and repair them so that you can complete your research with confidence and publish something you know your audience will read with fascination.

Of course, if you receive affirmation that your research question is strong or are polishing your work before submitting it to a publisher, you might just need a final proofread to ensure that your confidence is well placed. Then, you can start pursuing something new that the world does not yet know (but will know) once you have your research question down.

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Characteristics of Good and Bad Research Questions

The figure below gives some examples of good and "not-so-good" research questions.

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Research Question Examples 🧑🏻‍🏫

25+ Practical Examples & Ideas To Help You Get Started 

By: Derek Jansen (MBA) | October 2023

A well-crafted research question (or set of questions) sets the stage for a robust study and meaningful insights.  But, if you’re new to research, it’s not always clear what exactly constitutes a good research question. In this post, we’ll provide you with clear examples of quality research questions across various disciplines, so that you can approach your research project with confidence!

Research Question Examples

• Psychology research questions
• Business research questions
• Education research questions
• Healthcare research questions
• Computer science research questions

Examples: Psychology

Let’s start by looking at some examples of research questions that you might encounter within the discipline of psychology.

How does sleep quality affect academic performance in university students?

This question is specific to a population (university students) and looks at a direct relationship between sleep and academic performance, both of which are quantifiable and measurable variables.

What factors contribute to the onset of anxiety disorders in adolescents?

The question narrows down the age group and focuses on identifying multiple contributing factors. There are various ways in which it could be approached from a methodological standpoint, including both qualitatively and quantitatively.

Do mindfulness techniques improve emotional well-being?

This is a focused research question aiming to evaluate the effectiveness of a specific intervention.

How does early childhood trauma impact adult relationships?

This research question targets a clear cause-and-effect relationship over a long timescale, making it focused but comprehensive.

Is there a correlation between screen time and depression in teenagers?

This research question focuses on an in-demand current issue and a specific demographic, allowing for a focused investigation. The key variables are clearly stated within the question and can be measured and analysed (i.e., high feasibility).

Examples: Business/Management

Next, let’s look at some examples of well-articulated research questions within the business and management realm.

How do leadership styles impact employee retention?

This is an example of a strong research question because it directly looks at the effect of one variable (leadership styles) on another (employee retention), allowing from a strongly aligned methodological approach.

What role does corporate social responsibility play in consumer choice?

Current and precise, this research question can reveal how social concerns are influencing buying behaviour by way of a qualitative exploration.

Does remote work increase or decrease productivity in tech companies?

Focused on a particular industry and a hot topic, this research question could yield timely, actionable insights that would have high practical value in the real world.

How do economic downturns affect small businesses in the homebuilding industry?

Vital for policy-making, this highly specific research question aims to uncover the challenges faced by small businesses within a certain industry.

Which employee benefits have the greatest impact on job satisfaction?

By being straightforward and specific, answering this research question could provide tangible insights to employers.

Examples: Education

Next, let’s look at some potential research questions within the education, training and development domain.

How does class size affect students’ academic performance in primary schools?

This example research question targets two clearly defined variables, which can be measured and analysed relatively easily.

Do online courses result in better retention of material than traditional courses?

Timely, specific and focused, answering this research question can help inform educational policy and personal choices about learning formats.

What impact do US public school lunches have on student health?

Targeting a specific, well-defined context, the research could lead to direct changes in public health policies.

To what degree does parental involvement improve academic outcomes in secondary education in the Midwest?

This research question focuses on a specific context (secondary education in the Midwest) and has clearly defined constructs.

What are the negative effects of standardised tests on student learning within Oklahoma primary schools?

This research question has a clear focus (negative outcomes) and is narrowed into a very specific context.

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Examples: Healthcare

Shifting to a different field, let’s look at some examples of research questions within the healthcare space.

What are the most effective treatments for chronic back pain amongst UK senior males?

Specific and solution-oriented, this research question focuses on clear variables and a well-defined context (senior males within the UK).

How do different healthcare policies affect patient satisfaction in public hospitals in South Africa?

This question is has clearly defined variables and is narrowly focused in terms of context.

Which factors contribute to obesity rates in urban areas within California?

This question is focused yet broad, aiming to reveal several contributing factors for targeted interventions.

Does telemedicine provide the same perceived quality of care as in-person visits for diabetes patients?

Ideal for a qualitative study, this research question explores a single construct (perceived quality of care) within a well-defined sample (diabetes patients).

Which lifestyle factors have the greatest affect on the risk of heart disease?

This research question aims to uncover modifiable factors, offering preventive health recommendations.

Examples: Computer Science

Last but certainly not least, let’s look at a few examples of research questions within the computer science world.

What are the perceived risks of cloud-based storage systems?

Highly relevant in our digital age, this research question would align well with a qualitative interview approach to better understand what users feel the key risks of cloud storage are.

Which factors affect the energy efficiency of data centres in Ohio?

With a clear focus, this research question lays a firm foundation for a quantitative study.

How do TikTok algorithms impact user behaviour amongst new graduates?

While this research question is more open-ended, it could form the basis for a qualitative investigation.

What are the perceived risk and benefits of open-source software software within the web design industry?

Practical and straightforward, the results could guide both developers and end-users in their choices.

Remember, these are just examples…

In this post, we’ve tried to provide a wide range of research question examples to help you get a feel for what research questions look like in practice. That said, it’s important to remember that these are just examples and don’t necessarily equate to good research topics . If you’re still trying to find a topic, check out our topic megalist for inspiration.

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• Writing Strong Research Questions | Criteria & Examples

Writing Strong Research Questions | Criteria & Examples

Published on 30 October 2022 by Shona McCombes . Revised on 12 December 2023.

A research question pinpoints exactly what you want to find out in your work. A good research question is essential to guide your research paper , dissertation , or thesis .

All research questions should be:

• Focused on a single problem or issue
• Researchable using primary and/or secondary sources
• Feasible to answer within the timeframe and practical constraints
• Specific enough to answer thoroughly
• Complex enough to develop the answer over the space of a paper or thesis
• Relevant to your field of study and/or society more broadly

Table of contents

How to write a research question, what makes a strong research question, research questions quiz, frequently asked questions.

You can follow these steps to develop a strong research question:

• Choose your topic
• Do some preliminary reading about the current state of the field
• Narrow your focus to a specific niche
• Identify the research problem that you will address

The way you frame your question depends on what your research aims to achieve. The table below shows some examples of how you might formulate questions for different purposes.

Using your research problem to develop your research question

Note that while most research questions can be answered with various types of research , the way you frame your question should help determine your choices.

Prevent plagiarism, run a free check.

Research questions anchor your whole project, so it’s important to spend some time refining them. The criteria below can help you evaluate the strength of your research question.

Focused and researchable

Feasible and specific, complex and arguable, relevant and original.

The way you present your research problem in your introduction varies depending on the nature of your research paper . A research paper that presents a sustained argument will usually encapsulate this argument in a thesis statement .

A research paper designed to present the results of empirical research tends to present a research question that it seeks to answer. It may also include a hypothesis – a prediction that will be confirmed or disproved by your research.

As you cannot possibly read every source related to your topic, it’s important to evaluate sources to assess their relevance. Use preliminary evaluation to determine whether a source is worth examining in more depth.

This involves:

• Reading abstracts , prefaces, introductions , and conclusions
• Looking at the table of contents to determine the scope of the work
• Consulting the index for key terms or the names of important scholars

An essay isn’t just a loose collection of facts and ideas. Instead, it should be centered on an overarching argument (summarised in your thesis statement ) that every part of the essay relates to.

The way you structure your essay is crucial to presenting your argument coherently. A well-structured essay helps your reader follow the logic of your ideas and understand your overall point.

A research hypothesis is your proposed answer to your research question. The research hypothesis usually includes an explanation (‘ x affects y because …’).

A statistical hypothesis, on the other hand, is a mathematical statement about a population parameter. Statistical hypotheses always come in pairs: the null and alternative hypotheses. In a well-designed study , the statistical hypotheses correspond logically to the research hypothesis.

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How to write a research question

Last updated

7 February 2023

Reviewed by

Miroslav Damyanov

In this article, we take an in-depth look at what a research question is, the different types of research questions, and how to write one (with examples). Read on to get started with your thesis, dissertation, or research paper .

Make research less tedious

Dovetail streamlines research to help you uncover and share actionable insights

• What is a research question?

A research question articulates exactly what you want to learn from your research. It stems directly from your research objectives, and you will arrive at an answer through data analysis and interpretation.

However, it is not that simple to write a research question—even when you know the question you intend to answer with your study. The main characteristics of a good research question are:

Feasible. You need to have the resources and abilities to examine the question, collect the data, and give answers.

Interesting. Create research questions that offer fascinating insights into your industry.

Novel. Research questions have to offer something new within your field of study.

Ethical. The research question topic should be approved by the relevant authorities and review boards.

Relevant. Your research question should lead to visible changes in society or your industry.

Usually, you write one single research question to guide your entire research paper. The answer becomes the thesis statement—the central position of your argument. A dissertation or thesis, on the other hand, may require multiple problem statements and research questions. However, they should be connected and focused on a specific problem.

• Importance of the research question

A research question acts as a guide for your entire study. It serves two vital purposes:

to determine the specific issue your research paper addresses

to identify clear objectives

Therefore, it helps split your research into small steps that you need to complete to provide answers.

Your research question will also provide boundaries for your study, which help set limits and ensure cohesion.

Finally, it acts as a frame of reference for assessing your work. Bear in mind that research questions can evolve, shift, and change during the early stages of your study or project.

• Types of research questions

The type of research you are conducting will dictate the type of research question to use. Primarily, research questions are grouped into three distinct categories of study:

qualitative

quantitative

mixed-method

Let’s look at each of these in turn:

Quantitative research questions

The number-one rule of quantitative research questions is that they are precise. They mainly include:

independent and dependent variables

the exact population being studied

the research design to be used

Therefore, you must frame and finalize quantitative research questions before starting the study.

Equally, a quantitative research question creates a link between itself and the research design. These questions cannot be answered with simple 'yes' or' no' responses, so they begin with words like 'does', 'do', 'are', and 'is'.

Quantitative research questions can be divided into three categories:

Relationship research questions usually leverage words such as 'trends' and 'association' because they include independent and dependent variables. They seek to define or explore trends and interactions between multiple variables.

Comparative research questions tend to analyze the differences between different groups to find an outcome variable. For instance, you may decide to compare two distinct groups where a specific variable is present in one and absent in the other.

Descriptive research questions usually start with the word 'what' and aim to measure how a population will respond to one or more variables.

Qualitative research questions

Like quantitative research questions, these questions are linked to the research design. However, qualitative research questions may deal with a specific or broad study area. This makes them more flexible, very adaptable, and usually non-directional.

Use qualitative research questions when your primary aim is to explain, discover, or explore.

There are seven types of qualitative research questions:

Explanatory research questions investigate particular topic areas that aren't well known.

Contextual research questions describe the workings of what is already in existence.

Evaluative research questions examine the effectiveness of specific paradigms or methods.

Ideological research questions aim to advance existing ideologies.

Descriptive research questions describe an event.

Generative research questions help develop actions and theories by providing new ideas.

Emancipatory research questions increase social action engagement, usually to benefit disadvantaged people.

Mixed-methods studies

With mixed-methods studies, you combine qualitative and quantitative research elements to get answers to your research question. This approach is ideal when you need a more complete picture. through a blend of the two approaches.

Mixed-methods research is excellent in multidisciplinary settings, societal analysis, and complex situations. Consider the following research question examples, which would be ideal candidates for a mixed-methods approach

How can non-voter and voter beliefs about democracy (qualitative) help explain Town X election turnout patterns (quantitative)?

How does students’ perception of their study environment (quantitative) relate to their test score differences (qualitative)?

• Developing a strong research question—a step-by-step guide

Research questions help break up your study into simple steps so you can quickly achieve your objectives and find answers. However, how do you develop a good research question? Here is our step-by-step guide:

1. Choose a topic

The first step is to select a broad research topic for your study. Pick something within your expertise and field that interests you. After all, the research itself will stem from the initial research question.

2. Conduct preliminary research

Once you have a broad topic, dig deeper into the problem by researching past studies in the field and gathering requirements from stakeholders if you work in a business setting.

Through this process, you will discover articles that mention areas not explored in that field or products that didn’t resonate with people’s expectations in a particular industry. For instance, you could explore specific topics that earlier research failed to study or products that failed to meet user needs.

3. Keep your audience in mind

Is your audience interested in the particular field you want to study? Are the research questions in your mind appealing and interesting to the audience? Defining your audience will help you refine your research question and ensure you pick a question that is relatable to your audience.

4. Generate a list of potential questions

Ask yourself numerous open-ended questions on the topic to create a potential list of research questions. You could start with broader questions and narrow them down to more specific ones. Don’t forget that you can challenge existing assumptions or use personal experiences to redefine research issues.

5. Review the questions

Evaluate your list of potential questions to determine which seems most effective. Ensure you consider the finer details of every question and possible outcomes. Doing this helps you determine if the questions meet the requirements of a research question.

6. Construct and evaluate your research question

Consider these two frameworks when constructing a good research question: PICOT and PEO. 

PICOT stands for:

P: Problem or population

I: Indicator or intervention to be studied

C: Comparison groups

O: Outcome of interest

T: Time frame

PEO stands for:

P: Population being studied

E: Exposure to any preexisting conditions

To evaluate your research question once you’ve constructed it, ask yourself the following questions:

Is it clear?

Your study should produce precise data and observations. For qualitative studies, the observations need to be delineable across categories. Quantitative studies must have measurable and empirical data.

Is it specific and focused?

An excellent research question must be specific enough to ensure your testing yields objective results. General or open-ended research questions are often ambiguous and subject to different kinds of interpretation.

Is it sufficiently complex?

Your research needs to yield substantial and consequential results to warrant the study. Merely supporting or reinforcing an existing paper is not good enough.

• Examples of good research questions

A robust research question actively contributes to a specific body of knowledge; it is a question that hasn’t been answered before within your research field.

Here are some examples of good and bad research questions :

Good: How effective are A and B policies at reducing the rates of Z?

Bad: Is A or B a better policy?

The first is more focused and researchable because it isn't based on value judgment. The second fails to give clear criteria for answering the question.

Good: What is the effect of daily Twitter use on the attention span of college students?

Bad: What is the effect of social media use on people's minds?

The first includes specific and well-defined concepts, which the second lacks.

Ensure all terms within your research question have precise meanings. Avoid vague or general language that makes the topic too broad.

• The bottom line

The success of any research starts with formulating the right questions that ensure you collect the most insightful data. A good research question will showcase the objectives of your systematic investigation and emphasize specific contexts.

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• v.63(8); 2019 Aug

Formulating a good research question: Pearls and pitfalls

Wilson fandino.

Guys' and St Thomas' Hospital National Health Service Foundation Trust, London, United Kingdom

The process of formulating a good research question can be challenging and frustrating. While a comprehensive literature review is compulsory, the researcher usually encounters methodological difficulties in the conduct of the study, particularly if the primary study question has not been adequately selected in accordance with the clinical dilemma that needs to be addressed. Therefore, optimising time and resources before embarking in the design of a clinical protocol can make an impact on the final results of the research project. Researchers have developed effective ways to convey the message of how to build a good research question that can be easily recalled under the acronyms of PICOT (population, intervention, comparator, outcome, and time frame) and FINER (feasible, interesting, novel, ethical, and relevant). In line with these concepts, this article highlights the main issues faced by clinicians, when developing a research question.

INTRODUCTION

What is your research question? This is very often one of the first queries made by statisticians, when researchers come up with an interesting idea. In fact, the findings of a study may only acquire relevance if they provide an accurate and unbiased answer to a specific question,[ 1 , 2 ] and it has been suggested that up to one-third of the time spent in the whole process—from the conception of an idea to the publication of the manuscript—could be invested in finding the right primary study question.[ 3 ] Furthermore, selecting a good research question can be a time-consuming and challenging task: in one retrospective study, Mayo et al . reported that 3 out of 10 articles published would have needed a major rewording of the question.[ 1 ] This paper explores some recommendations to consider before starting any research project, and outlines the main difficulties faced by young and experienced clinicians, when it comes time to turn an exciting idea into a valuable and feasible research question.

OPTIMISATION OF TIME AND RESOURCES

Focusing on the primary research question.

The process of developing a new idea usually stems from a dilemma inherent to the clinical practice.[ 2 , 3 , 4 ] However, once the problem has been identified, it is tempting to formulate multiple research questions. Conducting a clinical trial with more than one primary study question would not be feasible. First, because each question may require a different research design, and second, because the necessary statistical power of the study would demand unaffordable sample sizes. It is the duty of editors and reviewers to make sure that authors clearly identify the primary research question, and as a consequence, studies approaching more than one primary research question may not be suitable for publication.

Working in the right environment

Teamwork is essential to find the appropriate research question. Working in the right environment will enable the investigator to interact with colleagues with different backgrounds, and create opportunities to exchange experiences in a collaborative way between clinicians and researchers. Likewise, it is of paramount importance to get involved colleagues with expertise in the field (lead clinicians, education supervisors, research mentors, department chairs, epidemiologists, biostatisticians, and ethical consultants, among others), and ask for their guidance.[ 5 , 6 , 7 , 8 ]

Evaluating the pertinence of the study

The researcher should wonder if, on the basis of the research question formulated, there is a need for a study to address the problem, as clinical research usually entails a large investment of resources and workforce involvement. Thus, if the answer to the posed clinical question seems to be evident before starting the study, investing in research to address the problem would become superfluous. For example, in a clinical trial, Herzog-Niescery et al . compared laryngeal masks with cuffed and uncuffed tracheal tubes, in the context of surgeons' exposure to sevoflurane, in infants undergoing adenoidectomy. However, it appears obvious that cuffed tracheal tubes are preferred to minimise surgeons' exposure to volatile gases, as authors concluded after recruiting 60 patients.[ 9 ]

Conducting a thorough literature review

Any research project requires the identification of at least one of three problems: the evidence is scarce, the existing literature yields conflicting results, or the results could be improved. Hence, a comprehensive review of the topic is imperative, as it allows the researcher to identify this gap in the literature, formulate a hypothesis and develop a research question.[ 2 ] To this end, it is crucial to be attentive to new ideas, keep the imagination roaming with reflective attitude, and remain sceptical to the new-gained information.[ 4 , 7 ]

Narrowing the research question

A broad research question may encompass an unaffordable extensive topic. For instance, do supraglottic devices provide similar conditions for the visualization of the glottis aperture in a German hospital? Such a general research question usually needs to be narrowed, not only by cutting away unnecessary components (a German hospital is irrelevant in this context), but also by defining a target population, a specific intervention, an alternative treatment or procedure to be compared with the intervention, a measurable primary outcome, and a time frame of the study. In contrast, an example of a good research question would be: among children younger than 1 year of age undergoing elective minor procedures, to what extent the insertion times are different, comparing the Supreme™ laryngeal mask airway (LMA) to Proseal™ LMA, when placed after reaching a BIS index <60?[ 10 ] In this example, the core ingredients of the research question can be easily identified as: children <1 year of age undergoing minor elective procedures, Supreme™ LMA, Proseal™ LMA and insertion times at anaesthetic induction when reaching a BIS index <60. These components are usually gathered in the literature under the acronym of PICOT (population, intervention, comparator, outcome and time frame, respectively).[ 1 , 3 , 5 ]

PICOT FRAMEWORK

Table 1 summarises the foremost questions likely to be addressed when working on PICOT frame.[ 1 , 6 , 8 ] These components are also applicable to observational studies, where the exposure takes place of the intervention.[ 1 , 11 ] Remarkably, if after browsing the title and the abstract of a paper, the reader is not able to clearly identify the PICOT parameters, and elucidate the question posed by the authors, there should be reasonable scepticism regarding the scientific rigor of the work.[ 12 , 13 ] All these elements are crucial in the design and methodology of a clinical trial, as they can affect the feasibility and reliability of results. Having formulated the primary study question in the context of the PICOT framework [ Table 1 ],[ 1 , 6 , 8 ] the researcher should be able to elucidate which design is most suitable for their work, determine what type of data needs to be collected, and write a structured introduction tailored to what they want to know, explicitly mentioning the primary study hypothesis, which should lead to formulate the main research question.[ 1 , 2 , 6 , 8 ]

Key questions to be answered when working with the PICOT framework (population, intervention, comparator, outcome, and time frame) in a clinical research design

Occasionally, the intended population of the study needs to be modified, in order to overcome any potential ethical issues, and/or for the sake of convenience and feasibility of the project. Yet, the researcher must be aware that the external validity of the results may be compromised. As an illustration, in a randomised clinical trial, authors compared the ease of tracheal tube insertion between C-MAC video laryngoscope and direct laryngoscopy, in patients presenting to the emergency department with an indication of rapid sequence intubation. However, owing to the existence of ethical concerns, a substantial amount of patients requiring emergency tracheal intubation, including patients with major maxillofacial trauma and ongoing cardiopulmonary resuscitation, had to be excluded from the trial.[ 14 ] In fact, the design of prospective studies to explore this subset of patients can be challenging, not only because of ethical considerations, but because of the low incidence of these cases. In another study, Metterlein et al . compared the glottis visualisation among five different supraglottic airway devices, using fibreroptic-guided tracheal intubation in an adult population. Despite that the study was aimed to explore the ease of intubation in patients with anticipated difficult airway (thus requiring fibreoptic tracheal intubation), authors decided to enrol patients undergoing elective laser treatment for genital condylomas, as a strategy to hasten the recruitment process and optimise resources.[ 15 ]

Intervention

Anaesthetic interventions can be classified into pharmacological (experimental treatment) and nonpharmacological. Among nonpharmacological interventions, the most common include anaesthetic techniques, monitoring instruments and airway devices. For example, it would be appropriate to examine the ease of insertion of Supreme™ LMA, when compared with ProSeal™ LMA. Notwithstanding, a common mistake is the tendency to be focused on the data aimed to be collected (the “stated” objective), rather than the question that needs to be answered (the “latent” objective).[ 1 , 4 ] In one clinical trial, authors stated: “we compared the Supreme™ and ProSeal™ LMAs in infants by measuring their performance characteristics, including insertion features, ventilation parameters, induced changes in haemodynamics, and rates of postoperative complications”.[ 10 ] Here, the research question has been centered on the measurements (insertion characteristics, haemodynamic variables, LMA insertion characteristics, ventilation parameters) rather than the clinical problem that needs to be addressed (is Supreme™ LMA easier to insert than ProSeal™ LMA?).

Comparators in clinical research can also be pharmacological (e.g., gold standard or placebo) or nonpharmacological. Typically, not more than two comparator groups are included in a clinical trial. Multiple comparisons should be generally avoided, unless there is enough statistical power to address the end points of interest, and statistical analyses have been adjusted for multiple testing. For instance, in the aforementioned study of Metterlein et al .,[ 15 ] authors compared five supraglottic airway devices by recruiting only 10--12 participants per group. In spite of the authors' recommendation of using two supraglottic devices based on the results of the study, there was no mention of statistical adjustments for multiple comparisons, and given the small sample size, larger clinical trials will undoubtedly be needed to confirm or refute these findings.[ 15 ]

A clear formulation of the primary outcome results of vital importance in clinical research, as the primary statistical analyses, including the sample size calculation (and therefore, the estimation of the effect size and statistical power), will be derived from the main outcome of interest. While it is clear that using more than one primary outcome would not be appropriate, it would be equally inadequate to include multiple point measurements of the same variable as the primary outcome (e.g., visual analogue scale for pain at 1, 2, 6, and 12 h postoperatively).

Composite outcomes, in which multiple primary endpoints are combined, may make it difficult to draw any conclusions based on the study findings. For example, in a clinical trial, 200 children undergoing ophthalmic surgery were recruited to explore the incidence of respiratory adverse events, when comparing desflurane with sevoflurane, following the removal of flexible LMA during the emergence of the anaesthesia. The primary outcome was the number of respiratory events, including breath holding, coughing, secretions requiring suction, laryngospasm, bronchospasm, and mild desaturation.[ 16 ] Should authors had claimed a significant difference between these anaesthetic volatiles, it would have been important to elucidate whether those differences were due to serious adverse events, like laryngospasm or bronchospasm, or the results were explained by any of the other events (e.g., secretions requiring suction). While it is true that clinical trials evaluating the occurrence of adverse events like laryngospasm/bronchospasm,[ 16 , 17 ] or life-threating complications following a tracheal intubation (e.g., inadvertent oesophageal placement, dental damage or injury of the larynx/pharynx)[ 14 ] are almost invariably underpowered, because the incidence of such events is expected to be low, subjective outcomes like coughing or secretions requiring suction should be avoided, as they are highly dependent on the examiner's criteria.[ 16 ]

Secondary outcomes are useful to document potential side effects (e.g., gastric insufflation after placing a supraglottic device), and evaluate the adherence (say, airway leak pressure) and safety of the intervention (for instance, occurrence, or laryngospasm/bronchospasm).[ 17 ] Nevertheless, the problem of addressing multiple secondary outcomes without the adequate statistical power is habitual in medical literature. A good illustration of this issue can be found in a study evaluating the performance of two supraglottic devices in 50 anaesthetised infants and neonates, whereby authors could not draw any conclusions in regard to potential differences in the occurrence of complications, because the sample size calculated made the study underpowered to explore those differences.[ 17 ]

Among PICOT components, the time frame is the most likely to be omitted or inappropriate.[ 1 , 12 ] There are two key aspects of the time component that need to be clearly specified in the research question: the time of measuring the outcome variables (e.g. visual analogue scale for pain at 1, 2, 6, and 12 h postoperatively), and the duration of each measurement (when indicated). The omission of these details in the study protocol might lead to substantial differences in the methodology used. For instance, if a study is designed to compare the insertion times of three different supraglottic devices, and researchers do not specify the exact moment of LMA insertion in the clinical trial protocol (i.e., at the anaesthetic induction after reaching a BIS index < 60), placing an LMA with insufficient depth of anaesthesia would have compromised the internal validity of the results, because inserting a supraglottic device in those patients would have resulted in failed attempts and longer insertion times.[ 10 ]

FINER CRITERIA

A well-elaborated research question may not necessarily be a good question. The proposed study also requires being achievable from both ethical and realistic perspectives, interesting and useful to the clinical practice, and capable to formulate new hypotheses, that may contribute to the generation of knowledge. Researchers have developed an effective way to convey the message of how to build a good research question, that is usually recalled under the acronym of FINER (feasible, interesting, novel, ethical and relevant).[ 5 , 6 , 7 ] Table 2 highlights the main characteristics of FINER criteria.[ 7 ]

Main features of FINER criteria (Feasibility, interest, novelty, ethics, and relevance) to formulate a good research question. Adapted from Cummings et al .[ 7 ]

Novelty and relevance

Although it is clear that any research project should commence with an accurate literature interpretation, in many instances it represents the start and the end of the research: the reader will soon realise that the answer to several questions can be easily found in the published literature.[ 5 ] When the question overcomes the test of a thorough literature review, the project may become novel (there is a gap in the knowledge, and therefore, there is a need for new evidence on the topic) and relevant (the paper may contribute to change the clinical practice). In this context, it is important to distinguish the difference between statistical significance and clinical relevance: in the aforementioned study of Oba et al .,[ 10 ] despite the means of insertion times were reported as significant for the Supreme™ LMA, as compared with ProSeal™ LMA, the difference found in the insertion times (528 vs. 486 sec, respectively), although reported as significant, had little or no clinical relevance.[ 10 ] Conversely, a statistically significant difference of 12 sec might be of clinical relevance in neonates weighing <5 kg.[ 17 ] Thus, statistical tests must be interpreted in the context of a clinically meaningful effect size, which should be previously defined by the researcher.

Feasibility and ethical aspects

Among FINER criteria, there are two potential barriers that may prevent the successful conduct of the project and publication of the manuscript: feasibility and ethical aspects. These obstacles are usually related to the target population, as discussed above. Feasibility refers not only to the budget but also to the complexity of the design, recruitment strategy, blinding, adequacy of the sample size, measurement of the outcome, time of follow-up of participants, and commitment of clinicians, among others.[ 3 , 7 ] Funding, as a component of feasibility, may also be implicated in the ethical principles of clinical research, because the choice of the primary study question may be markedly influenced by the specific criteria demanded in the interest of potential funders.

Discussing ethical issues with local committees is compulsory, as rules applied might vary among countries.[ 18 ] Potential risks and benefits need to be carefully weighed, based upon the four principles of respect for autonomy, beneficence, non-maleficence, and justice.[ 19 ] Although many of these issues may be related to the population target (e.g., conducting a clinical trial in patients with ongoing cardiopulmonary resuscitation would be inappropriate, as would be anaesthetising patients undergoing elective LASER treatment for condylomas, to examine the performance of supraglottic airway devices),[ 14 , 15 ] ethical conflicts may also arise from the intervention (particularly those involving the occurrence of side effects or complications, and their potential for reversibility), comparison (e.g., use of placebo or sham procedures),[ 19 ] outcome (surrogate outcomes should be considered in lieu of long term outcomes), or time frame (e.g., unnecessary longer exposition to an intervention). Thus, FINER criteria should not be conceived without a concomitant examination of the PICOT checklist, and consequently, PICOT framework and FINER criteria should not be seen as separated components, but rather complementary ingredients of a good research question.

Undoubtedly, no research project can be conducted if it is deemed unfeasible, and most institutional review boards would not be in a position to approve a work with major ethical problems. Nonetheless, whether or not the findings are interesting, is a subjective matter. Engaging the attention of readers also depends upon a number of factors, including the manner of presenting the problem, the background of the topic, the intended audience, and the reader's expectations. Furthermore, the interest is usually linked to the novelty and relevance of the topic, and it is worth nothing that editors and peer reviewers of high-impact medical journals are usually reluctant to accept any publication, if there is no novelty inherent to the research hypothesis, or there is a lack of relevance in the results.[ 11 ] Nevertheless, a considerable number of papers have been published without any novelty or relevance in the topic addressed. This is probably reflected in a recent survey, according to which only a third of respondents declared to have read thoroughly the most recent papers downloaded, and at least half of those manuscripts remained unread.[ 20 ] The same study reported that up to one-third of papers examined remained uncited after 5 years of publication, and only 20% of papers accounted for 80% of the citations.[ 20 ]

Formulating a good research question can be fascinating, albeit challenging, even for experienced investigators. While it is clear that clinical experience in combination with the accurate interpretation of literature and teamwork are essential to develop new ideas, the formulation of a clinical problem usually requires the compliance with PICOT framework in conjunction with FINER criteria, in order to translate a clinical dilemma into a researchable question. Working in the right environment with the adequate support of experienced researchers, will certainly make a difference in the generation of knowledge. By doing this, a lot of time will be saved in the search of the primary study question, and undoubtedly, there will be more chances to become a successful researcher.

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Examples of Good and Bad Research Questions

A research question defines the primary objective of your work and is one of the most important components of your paper . In this blog, we will look at some examples of good and bad research questions.

1. Research Question Example #1

You have to design your research question in such a way that it is focused and is not too broad.  Let’s look at the example here. We are saying that we are going to study the impact of social media on young people. The research question is too broad. As you can see there is no clear direction, and the study attempts to take on too much.

✖ Bad example – Too broad and unfocussed The research aims to find out the impact of social media on young people.

Now, look at the example below. It is much more focused. We are very specific about our research questions .  We are saying that we are attempting to measure the average time spent by teenagers on social media. And, we are also trying to understand the exact nature of their interactions on social media. We will be using an online questionnaire to answer the questions and we will be choosing participants from England and Scotland. This is a good research question, because it clearly defines what you have set out to do and how you plan to achieve it.

✔ Good example – Focussed and a very clear definition The research aims to estimate the average time spent by 18-24 year-olds on social media, and investigate the nature of interactions and conversions they have on social media. We attempt to answer these questions by conducting an online questionnaire survey in England and Scotland. _   Research aims   _   Plan of action

2. Research Question Example #2

Another thing to remember is that your research question should not be too simple. Your research question should be reasonably complex and there should be scope for you to conduct research. And most importantly, it should be reasonably original and should not have been answered before.

Look at the example here. “Does Co2 causes global warming?”. We all know that Co2 causes global warming. If you can answer your question with a simple yes or no, then it is too simple.

✖ Bad example – Too simple Does Co2 causes global warming?

Now, look at this research question below. The research question is reasonably complex. You need to perform quantitative and qualitative experiments to answer this question. It is realistic, and it is possible to complete your measurements and calculations in a reasonable time scale. It ticks all the boxes and that is the reason why this is a good research question.

✔ Good example – Realistic and challenging question What percentage of the CO2 in the atmosphere has been produced by human beings through the burning of fossil fuels?

3. Research Question Example #3

Your research question should align with your research gap and the problem statement. In the example below, the author is talking about the practical challenges of using biomass as a renewable source of electricity, because you need to cut down a lot of trees for this. So when readers are expecting a research question along the lines of finding better and more efficient ways to produce biomass, the author mentions that the objective of his work is to investigate the competency requirements of managers working in the Biomass industry. This has nothing to do with the problem statement and research gap the author had identified.

✖ Bad example – Research question doesn’t align with the problem definition Successfully utilizing biomass as a source of energy poses challenges because of various reasons, such as deforestation. This study aims to investigate the competency requirements of managers working in the biomass industry. _   Problem definition   _   Misaligned Research question

In the example below, the authors say that their work aims to propose a new method for generating electricity from biomass. This nicely aligns with the problem definition of finding new ways to use biomass for energy production.

✔ Good example – Research question nicely aligns with the problem definition Successfully utilizing biomass as a source of energy poses challenges because of various reasons, such as deforestation. In this paper, we propose a comprehensive method for the generation of electricity using biomass which builds and expands on direct combustion approaches. _   Problem definition   _   Well-aligned Research question

I hope you found the blog useful.  A strong research question lies at the heart of any research work, so please make use of the tips outlined in this blog. If you have any questions, please drop a comment below, and we will answer as soon as possible. For further reading, please refer to our blog on how to formulate a research question?  We also recommend you to refer to our other blogs on  academic writing tools ,   academic writing resources , and  academic phrase-bank , which are relevant to the topic discussed in this blog. 

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Research Question Examples: Good and Bad Examples for Your Next Study

A well-crafted research question can guide your research and help you to stay focused on your topic. However, developing a good research question can be challenging. In this article, we will provide you with examples of good and bad research questions to help you prepare for your research project.

By examining good and bad research question examples, you can learn how to develop your own research question that is clear, specific, and relevant to your field of study. A well-crafted research question can help you stay focused on your topic, guide your research, and ultimately lead to a successful research project.

Research Question Examples

Research Questions

In any research project, the research question is the foundation upon which the entire study is built. A well-designed research question is essential to conducting a successful study. It guides the researcher in defining the scope of the study, selecting the appropriate research methods, and analyzing the data.

What Is a Research Question?

A research question is a clear, concise, and specific question that a researcher asks in order to guide their study. It is the central question that the researcher seeks to answer through their research. A good research question is one that is focused, relevant, and answerable.

Why Are Research Questions Important?

Research questions are important because they help to define the scope of the study and guide the research process. They help to ensure that the study is focused and relevant and that the research methods are appropriate for answering the research question. In addition, good research questions help to ensure that the study is feasible, ethical, and can be completed within a reasonable timeframe.

Characteristics of Good Research Questions

When it comes to developing research questions, there are several characteristics that distinguish good questions from bad ones. Good research questions are essential for guiding your research, and they should be focused, clear, and feasible. Here are some key characteristics of good research questions:

A good research question should be focused on a single problem or issue rather than being too broad or vague. A focused research question helps you to narrow down your research and prevents you from getting lost in irrelevant information. It also helps you to identify the key variables that you need to measure or manipulate in your study.

A good research question should be clear and easy to understand. It should avoid using jargon or technical terms that are not familiar to your audience. A clear research question helps you to communicate your research goals and objectives to your readers and stakeholders.

A good research question should be feasible in terms of time, scope, resources, expertise, and funding. It should be realistic and achievable within the constraints of your research project. A feasible research question helps you to avoid wasting time and resources on unrealistic or impractical research goals.

Interesting

A good research question should be interesting to you as a researcher and to your audience. It should be relevant to current issues or debates in your field and have the potential to contribute to knowledge or practice. An interesting research question helps you to stay motivated and engaged in your research and to attract the attention of your readers and stakeholders.

A good research question should be testable or answerable through empirical research. It should be amenable to the formulation of clear hypotheses and the collection of relevant data. A testable research question helps you to evaluate the validity and reliability of your research findings and to draw meaningful conclusions from them.

Good Research Question Examples

Social sciences.

In the social sciences, research questions often revolve around human behavior and social interactions. Here are a few examples of good research questions:

• How does social media usage affect mental health in adolescents ?
• What factors contribute to workplace satisfaction among employees?
• How does parental involvement affect academic achievement in elementary school children?

Natural Sciences

Natural science research often focuses on the physical world and natural phenomena. Here are a few examples of good research questions in the natural sciences:

• What is the effect of temperature on the rate of photosynthesis in plants?
• How does increasing ocean acidity affect marine life?
• What factors contribute to the formation of tornadoes?

Research in the humanities often centers on culture, language, and history. Here are a few examples of good research questions in the humanities:

• How has the portrayal of women in literature changed over time?
• What is the impact of bilingualism on cognitive development?
• How has the perception of mental illness changed throughout history?

Characteristics of Bad Research Questions

When writing a research question, it is important to ensure that it is well-constructed and meaningful. A bad research question can lead to a poorly designed study or result in irrelevant findings. Here are some characteristics of bad research questions that you should avoid:

Vague or Ambiguous

A research question that is vague or ambiguous can lead to confusion and misinterpretation. It is important to ensure that your research question is clear and specific. Avoid using broad terms that are open to interpretation, such as “better,” “more,” or “improve.” Instead, use precise language that defines the scope of your study.

Too Broad or Too Narrow

A research question that is too broad or too narrow can lead to problems with data collection and analysis. A broad research question may be too general to answer effectively, while a narrow research question may limit the scope of your study. It is important to strike a balance between the two and ensure that your research question is appropriately focused.

Not Testable or Measurable

A research question that is not testable or measurable can lead to problems with data analysis and interpretation. It is important to ensure that your research question can be answered using empirical evidence. Avoid using questions that are based on opinion or speculation, as these cannot be tested or measured effectively.

Not Relevant or Significant

A research question that is not relevant or significant can lead to a study that has little impact or practical application. It is important to ensure that your research question is grounded in existing literature and addresses a gap in knowledge or practice. Avoid using questions that are trivial or have already been answered, as these will not contribute to the advancement of your field.

Bad Research Question Examples

Vague questions.

Vague questions are those that are not clear or specific enough. They lack clarity and precision, making it difficult to answer them. Here are some examples of vague questions:

• What is the impact of technology on society?
• How does the media affect people’s opinions?
• What are the effects of climate change?

These questions are too broad and do not provide a specific focus for research. They are difficult to answer because they lack clarity and precision.

Too Broad Questions

Too broad questions are those that are too general and cover too much ground. They are difficult to answer because they are too broad and do not provide a specific focus for research. Here are some examples of too broad questions:

• What are the causes of poverty?
• How does education affect people’s lives?
• What is the role of government in society?

These questions are too broad and cover too much ground. They are difficult to answer because they lack specificity and focus.

Unanswerable Questions

Unanswerable questions are those that cannot be answered through research. They are often philosophical or theoretical in nature and cannot be tested or measured. Here are some examples of unanswerable questions:

• What is the meaning of life?
• Is there a God?
• What is the nature of reality?

These questions are unanswerable through research because they are philosophical or theoretical in nature. They cannot be tested or measured, making them unsuitable for research.

How to Improve Bad Research Questions

If you have identified that your research question is not strong enough, you can take steps to improve it. Here are some tips to help you improve your bad research questions:

• Make it specific : A good research question should be specific enough to guide your research. If your question is too broad, it may be difficult to answer. For example, if your research question is “What is the impact of technology on society?” it is too broad. Instead, try to narrow it down to something more specific, such as “How has social media affected the way people communicate?”
• Make it clear : Your research question should be clear and easy to understand. Avoid using technical jargon or complex language that may confuse your readers. Use simple and concise language to communicate your ideas effectively.
• Make it relevant : Your research question should be relevant to your field of study and the current state of research. Make sure that your question is not outdated and that it addresses a current problem or issue in your field.
• Make it answerable : Your research question should be answerable through research. Make sure that there is enough information available to answer your question. If your question is too broad or too narrow, it may be difficult to find enough information to answer it.
• Make it interesting : Your research question should be interesting and engaging to your readers. Try to choose a topic that is relevant and interesting to your audience. This will help to keep them engaged throughout your research.

Tips for Developing Effective Research Questions

Developing effective research questions is crucial for the success of your research project. Here are some tips to help you develop research questions that are focused, achievable, and answerable:

• Start with a broad topic: Begin by identifying a broad topic of interest. This could be a general area of study or a specific problem or issue that you want to investigate.
• Conduct a literature review: Conducting a literature review will help you identify what research has already been done in your area of interest. This will help you identify gaps in the existing knowledge and formulate research questions that are novel and innovative.
• Narrow down your focus: Once you have conducted a literature review, you can narrow down your focus to a specific research question. Your research question should be specific enough to guide your research, but broad enough to allow for exploration and discovery.
• Make sure your research question is answerable: Your research question should be answerable through empirical research. Make sure that you have access to the necessary data and resources to answer your research question.
• Use clear and concise language: Your research question should be written in clear and concise language that is easy to understand. Avoid using technical jargon or complex language that may confuse your readers.
• Consider the scope of your research question: Make sure that your research question is feasible within the scope of your research project. If your research question is too broad or ambitious, you may not be able to answer it within the time and resources available to you.
• Test your research question: Before finalizing your research question, test it on a sample of your target audience. This will help you identify any potential issues or problems with your research question and refine it further.

Frequently Asked Questions

What are the characteristics of a good research question?

A good research question should be focused, specific, researchable, and relevant. It should be clear and concise, and it should be able to be answered with available data and resources. Additionally, a good research question should be open-ended and leave room for exploration and discovery.

What are some common mistakes to avoid when formulating a research question?

Some common mistakes to avoid when formulating a research question include asking questions that are too broad or too narrow, asking questions that are too complex or convoluted, and asking questions that are not relevant or feasible. It is also important to avoid asking leading questions that may bias the research or the results.

What are some examples of research questions in social sciences?

Some examples of research questions in social sciences include: “What is the impact of social media on adolescent mental health?”, “How does socioeconomic status affect academic achievement?”, and “What are the factors that contribute to political polarization in the United States?”

What are the different types of research questions and how do they differ?

There are three main types of research questions: descriptive, exploratory, and explanatory. Descriptive research questions seek to describe a phenomenon or situation, while exploratory research questions seek to explore new areas of inquiry. Explanatory research questions seek to explain the relationship between variables.

How do you evaluate whether a research question is feasible and relevant?

To evaluate whether a research question is feasible and relevant, consider whether it can be answered with available data and resources, whether it is within the scope of the research project, and whether it is relevant to the research topic or problem being investigated.

What are some tips for refining a research question and making it more specific?

To refine a research question and make it more specific, consider narrowing the focus of the question, clarifying the language used in the question, and ensuring that the question is researchable and can be answered with available data and resources. It may also be helpful to seek feedback from peers or advisors to ensure that the question is clear and concise.

Last Updated on September 5, 2023

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How to Write a Research Question: Types and Examples 

The first step in any research project is framing the research question. It can be considered the core of any systematic investigation as the research outcomes are tied to asking the right questions. Thus, this primary interrogation point sets the pace for your research as it helps collect relevant and insightful information that ultimately influences your work.   

Typically, the research question guides the stages of inquiry, analysis, and reporting. Depending on the use of quantifiable or quantitative data, research questions are broadly categorized into quantitative or qualitative research questions. Both types of research questions can be used independently or together, considering the overall focus and objectives of your research.  

What is a research question?

A research question is a clear, focused, concise, and arguable question on which your research and writing are centered. 1 It states various aspects of the study, including the population and variables to be studied and the problem the study addresses. These questions also set the boundaries of the study, ensuring cohesion. 

Designing the research question is a dynamic process where the researcher can change or refine the research question as they review related literature and develop a framework for the study. Depending on the scale of your research, the study can include single or multiple research questions. 

A good research question has the following features: 

• It is relevant to the chosen field of study. 
• The question posed is arguable and open for debate, requiring synthesizing and analysis of ideas. 
• It is focused and concisely framed. 
• A feasible solution is possible within the given practical constraint and timeframe. 

A poorly formulated research question poses several risks. 1   

• Researchers can adopt an erroneous design. 
• It can create confusion and hinder the thought process, including developing a clear protocol.  
• It can jeopardize publication efforts.  
• It causes difficulty in determining the relevance of the study findings.  
• It causes difficulty in whether the study fulfils the inclusion criteria for systematic review and meta-analysis. This creates challenges in determining whether additional studies or data collection is needed to answer the question.  
• Readers may fail to understand the objective of the study. This reduces the likelihood of the study being cited by others. 

Now that you know “What is a research question?”, let’s look at the different types of research questions. 

Types of research questions

Depending on the type of research to be done, research questions can be classified broadly into quantitative, qualitative, or mixed-methods studies. Knowing the type of research helps determine the best type of research question that reflects the direction and epistemological underpinnings of your research. 

The structure and wording of quantitative 2 and qualitative research 3 questions differ significantly. The quantitative study looks at causal relationships, whereas the qualitative study aims at exploring a phenomenon. 

• Quantitative research questions:  
• Seeks to investigate social, familial, or educational experiences or processes in a particular context and/or location.  
• Answers ‘how,’ ‘what,’ or ‘why’ questions. 
• Investigates connections, relations, or comparisons between independent and dependent variables. 

Quantitative research questions can be further categorized into descriptive, comparative, and relationship, as explained in the Table below. 

• Qualitative research questions  

Qualitative research questions are adaptable, non-directional, and more flexible. It concerns broad areas of research or more specific areas of study to discover, explain, or explore a phenomenon. These are further classified as follows: 

• Mixed-methods studies  

Mixed-methods studies use both quantitative and qualitative research questions to answer your research question. Mixed methods provide a complete picture than standalone quantitative or qualitative research, as it integrates the benefits of both methods. Mixed methods research is often used in multidisciplinary settings and complex situational or societal research, especially in the behavioral, health, and social science fields. 

What makes a good research question

A good research question should be clear and focused to guide your research. It should synthesize multiple sources to present your unique argument, and should ideally be something that you are interested in. But avoid questions that can be answered in a few factual statements. The following are the main attributes of a good research question. 

• Specific: The research question should not be a fishing expedition performed in the hopes that some new information will be found that will benefit the researcher. The central research question should work with your research problem to keep your work focused. If using multiple questions, they should all tie back to the central aim. 
• Measurable: The research question must be answerable using quantitative and/or qualitative data or from scholarly sources to develop your research question. If such data is impossible to access, it is better to rethink your question. 
• Attainable: Ensure you have enough time and resources to do all research required to answer your question. If it seems you will not be able to gain access to the data you need, consider narrowing down your question to be more specific. 
• You have the expertise 
• You have the equipment and resources 
• Realistic: Developing your research question should be based on initial reading about your topic. It should focus on addressing a problem or gap in the existing knowledge in your field or discipline. 
• Based on some sort of rational physics 
• Can be done in a reasonable time frame 
• Timely: The research question should contribute to an existing and current debate in your field or in society at large. It should produce knowledge that future researchers or practitioners can later build on. 
• Novel 
• Based on current technologies. 
• Important to answer current problems or concerns. 
• Lead to new directions. 
• Important: Your question should have some aspect of originality. Incremental research is as important as exploring disruptive technologies. For example, you can focus on a specific location or explore a new angle. 
• Meaningful whether the answer is “Yes” or “No.” Closed-ended, yes/no questions are too simple to work as good research questions. Such questions do not provide enough scope for robust investigation and discussion. A good research question requires original data, synthesis of multiple sources, and original interpretation and argumentation before providing an answer. 

Steps for developing a good research question

The importance of research questions cannot be understated. When drafting a research question, use the following frameworks to guide the components of your question to ease the process. 4  

• Determine the requirements: Before constructing a good research question, set your research requirements. What is the purpose? Is it descriptive, comparative, or explorative research? Determining the research aim will help you choose the most appropriate topic and word your question appropriately. 
• Select a broad research topic: Identify a broader subject area of interest that requires investigation. Techniques such as brainstorming or concept mapping can help identify relevant connections and themes within a broad research topic. For example, how to learn and help students learn. 
• Perform preliminary investigation: Preliminary research is needed to obtain up-to-date and relevant knowledge on your topic. It also helps identify issues currently being discussed from which information gaps can be identified. 
• Narrow your focus: Narrow the scope and focus of your research to a specific niche. This involves focusing on gaps in existing knowledge or recent literature or extending or complementing the findings of existing literature. Another approach involves constructing strong research questions that challenge your views or knowledge of the area of study (Example: Is learning consistent with the existing learning theory and research). 
• Identify the research problem: Once the research question has been framed, one should evaluate it. This is to realize the importance of the research questions and if there is a need for more revising (Example: How do your beliefs on learning theory and research impact your instructional practices). 

How to write a research question

Those struggling to understand how to write a research question, these simple steps can help you simplify the process of writing a research question. 

Sample Research Questions

The following are some bad and good research question examples 

• Example 1 
• Example 2 

References:  

• Thabane, L., Thomas, T., Ye, C., & Paul, J. (2009). Posing the research question: not so simple.  Canadian Journal of Anesthesia/Journal canadien d’anesthésie ,  56 (1), 71-79. 
• Rutberg, S., & Bouikidis, C. D. (2018). Focusing on the fundamentals: A simplistic differentiation between qualitative and quantitative research.  Nephrology Nursing Journal ,  45 (2), 209-213. 
• Kyngäs, H. (2020). Qualitative research and content analysis.  The application of content analysis in nursing science research , 3-11. 
• Mattick, K., Johnston, J., & de la Croix, A. (2018). How to… write a good research question.  The clinical teacher ,  15 (2), 104-108. 
• Fandino, W. (2019). Formulating a good research question: Pearls and pitfalls.  Indian Journal of Anaesthesia ,  63 (8), 611. 
• Richardson, W. S., Wilson, M. C., Nishikawa, J., & Hayward, R. S. (1995). The well-built clinical question: a key to evidence-based decisions.  ACP journal club ,  123 (3), A12-A13 

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Effective Guide to Good & Bad Research Questions

Table of Contents

Writing a research question is challenging and requires much more time and thought than you might think.

You cannot write a good thesis if you don’t develop a good research question first. But what makes a research question “good” or “bad?” This article is a practical guide to help you understand the qualities of good and bad research questions . The research question is what guides your research strategy.

Knowing the difference between good and bad research questions will help you stay on the right track as you write your thesis. A simple question that demands a straightforward answer will not be enough for a research question.

Let’s learn more about research questions and what makes them good or bad.

What Is a Research Question?

Research questions are one of the most important components of your research paper, thesis, or dissertation . Drafting a research question may initially appear to be the simplest step in conducting research.

But beginning to write a research question without a clear focus can cost you valuable time. A research question is:

• The first step of the research process
• Specific and directs you through the research
• Iterative and subject to change as your research and writing progress.

Compare Good and Bad Research Questions

Different opinions exist on what makes a research question good or bad . There is no universal way to word the best research questions. However, some elements give your research question greater substance.

Here are some key factors to help you draft an effective research question by comparing qualities between the good and bad ones.

Questions Should Have in-Depth Answers

It makes sense that a simple question would have an equally simple answer, but this is inadequate for a research paper. Formulate the right questions and steer clear of those requiring a simple “yes” or “no” response or a few simple phrases.

Bad: Do the US and UK have superior healthcare systems?

Good: How do the healthcare systems in the US and UK vary for treating chronic diseases?

Good Research Questions Must Have a Narrow Focus

A good research question should be narrowly focused on one subject or a group of concepts that are conceptually related.

If a topic is too broad, you must decide on which part of the topic you want to research for a clear focus. Otherwise, you won’t be able to develop a strong thesis paper.

Bad: Does medication help cure ADHD symptoms in elementary students? And do they need a regular exercise routine?

Good: How well do the various medications work for treating ADHD in elementary school students?

Instead of combining ADHD medication and exercise into the research topic, it’s best to focus solely on medication. As the question hints at the students’ age (elementary students), answering this question will make up a good thesis.

Don’t Ask for Opinions in Your Research Question

Consider the response you wish to receive as you write your research question. Expressing an opinion or value judgment in your research paper or project is not a good idea. Instead, you should develop a thesis based on statistics and objective evidence.

Bad: Which is the best tourist place?

Good: What features do the most popular tourist places have in common?

The first question only asks for an opinion and cannot serve as an appropriate research question. However, the second question asks for features, and you can use data or a list of features to answer this question better.

Research Questions Should Be Precise

You must make your research question as specific as possible. This will provide you with a more thorough answer that is compelling enough to serve as the subject of your thesis.

Bad: What are the effects of meds on people?

Good: What effects does aspirin have on people with low heart pressure?

By explicitly mentioning aspirin and low heart pressure people, you make the question easier to answer with facts and statistics. These details will help you develop a solid and more focused thesis.

A Good Research Question Avoids the Why Question

“Why” questions are open-ended queries, the ideal choice for interview sessions or featured articles. However, its open-ended nature is the exact opposite of what you need when formulating a research question. You need to ask a question that has a clear, concise answer.

Bad: Why do industries contaminate the groundwater?

Good: How do government-enforced regulations prevent industries from contaminating the water?

Great Questions Require Research to Answer

A research question is flawed if you can answer it without additional research. It’s best to ask a question that takes a little research to answer. You need a more challenging question if you can find the solution to a research question with a quick web search.

Bad: Has the world’s population increased in the last century?

Good: What factors have contributed to population growth in the past century?

A quick web search can answer the first question. However, the second question necessitates additional research to uncover a suitable response.

Best Research Questions Are Debatable

It’s simple to research a topic that isn’t controversial, but you won’t likely be contributing anything unique. Instead, pose a research question that is complex and has different aspects. This will help you get more detailed and compelling answers to your question.

Bad: Are illegal drugs harmful to teenage students?

Good: What effective educational measures can prevent drug abuse in teenage students?

Good research questions are open to debate and search for thorough answers. These questions allow people to discuss the subject matter . Compared to good questions, bad research questions are closed off and ask for a specific answer.

They have a very narrow perspective and are focused on one single point of the problem. This article lists the key features of good and bad research questions to help you formulate an effective one for your thesis paper.

Abir Ghenaiet

Abir is a data analyst and researcher. Among her interests are artificial intelligence, machine learning, and natural language processing. As a humanitarian and educator, she actively supports women in tech and promotes diversity.

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How to Write a Research Hypothesis: Good & Bad Examples

What is a research hypothesis?

A research hypothesis is an attempt at explaining a phenomenon or the relationships between phenomena/variables in the real world. Hypotheses are sometimes called “educated guesses”, but they are in fact (or let’s say they should be) based on previous observations, existing theories, scientific evidence, and logic. A research hypothesis is also not a prediction—rather, predictions are ( should be) based on clearly formulated hypotheses. For example, “We tested the hypothesis that KLF2 knockout mice would show deficiencies in heart development” is an assumption or prediction, not a hypothesis. 

The research hypothesis at the basis of this prediction is “the product of the KLF2 gene is involved in the development of the cardiovascular system in mice”—and this hypothesis is probably (hopefully) based on a clear observation, such as that mice with low levels of Kruppel-like factor 2 (which KLF2 codes for) seem to have heart problems. From this hypothesis, you can derive the idea that a mouse in which this particular gene does not function cannot develop a normal cardiovascular system, and then make the prediction that we started with. 

What is the difference between a hypothesis and a prediction?

You might think that these are very subtle differences, and you will certainly come across many publications that do not contain an actual hypothesis or do not make these distinctions correctly. But considering that the formulation and testing of hypotheses is an integral part of the scientific method, it is good to be aware of the concepts underlying this approach. The two hallmarks of a scientific hypothesis are falsifiability (an evaluation standard that was introduced by the philosopher of science Karl Popper in 1934) and testability —if you cannot use experiments or data to decide whether an idea is true or false, then it is not a hypothesis (or at least a very bad one).

So, in a nutshell, you (1) look at existing evidence/theories, (2) come up with a hypothesis, (3) make a prediction that allows you to (4) design an experiment or data analysis to test it, and (5) come to a conclusion. Of course, not all studies have hypotheses (there is also exploratory or hypothesis-generating research), and you do not necessarily have to state your hypothesis as such in your paper. 

But for the sake of understanding the principles of the scientific method, let’s first take a closer look at the different types of hypotheses that research articles refer to and then give you a step-by-step guide for how to formulate a strong hypothesis for your own paper.

Types of Research Hypotheses

Hypotheses can be simple , which means they describe the relationship between one single independent variable (the one you observe variations in or plan to manipulate) and one single dependent variable (the one you expect to be affected by the variations/manipulation). If there are more variables on either side, you are dealing with a complex hypothesis. You can also distinguish hypotheses according to the kind of relationship between the variables you are interested in (e.g., causal or associative ). But apart from these variations, we are usually interested in what is called the “alternative hypothesis” and, in contrast to that, the “null hypothesis”. If you think these two should be listed the other way round, then you are right, logically speaking—the alternative should surely come second. However, since this is the hypothesis we (as researchers) are usually interested in, let’s start from there.

Alternative Hypothesis

If you predict a relationship between two variables in your study, then the research hypothesis that you formulate to describe that relationship is your alternative hypothesis (usually H1 in statistical terms). The goal of your hypothesis testing is thus to demonstrate that there is sufficient evidence that supports the alternative hypothesis, rather than evidence for the possibility that there is no such relationship. The alternative hypothesis is usually the research hypothesis of a study and is based on the literature, previous observations, and widely known theories. 

Null Hypothesis

The hypothesis that describes the other possible outcome, that is, that your variables are not related, is the null hypothesis ( H0 ). Based on your findings, you choose between the two hypotheses—usually that means that if your prediction was correct, you reject the null hypothesis and accept the alternative. Make sure, however, that you are not getting lost at this step of the thinking process: If your prediction is that there will be no difference or change, then you are trying to find support for the null hypothesis and reject H1. 

Directional Hypothesis

While the null hypothesis is obviously “static”, the alternative hypothesis can specify a direction for the observed relationship between variables—for example, that mice with higher expression levels of a certain protein are more active than those with lower levels. This is then called a one-tailed hypothesis. 

Another example for a directional one-tailed alternative hypothesis would be that 

H1: Attending private classes before important exams has a positive effect on performance. 

Your null hypothesis would then be that

H0: Attending private classes before important exams has no/a negative effect on performance.

Nondirectional Hypothesis

A nondirectional hypothesis does not specify the direction of the potentially observed effect, only that there is a relationship between the studied variables—this is called a two-tailed hypothesis. For instance, if you are studying a new drug that has shown some effects on pathways involved in a certain condition (e.g., anxiety) in vitro in the lab, but you can’t say for sure whether it will have the same effects in an animal model or maybe induce other/side effects that you can’t predict and potentially increase anxiety levels instead, you could state the two hypotheses like this:

H1: The only lab-tested drug (somehow) affects anxiety levels in an anxiety mouse model.

You then test this nondirectional alternative hypothesis against the null hypothesis:

H0: The only lab-tested drug has no effect on anxiety levels in an anxiety mouse model.

How to Write a Hypothesis for a Research Paper

Now that we understand the important distinctions between different kinds of research hypotheses, let’s look at a simple process of how to write a hypothesis.

Writing a Hypothesis Step:1

Ask a question, based on earlier research. Research always starts with a question, but one that takes into account what is already known about a topic or phenomenon. For example, if you are interested in whether people who have pets are happier than those who don’t, do a literature search and find out what has already been demonstrated. You will probably realize that yes, there is quite a bit of research that shows a relationship between happiness and owning a pet—and even studies that show that owning a dog is more beneficial than owning a cat ! Let’s say you are so intrigued by this finding that you wonder: 

What is it that makes dog owners even happier than cat owners? 

Let’s move on to Step 2 and find an answer to that question.

Writing a Hypothesis Step 2:

Formulate a strong hypothesis by answering your own question. Again, you don’t want to make things up, take unicorns into account, or repeat/ignore what has already been done. Looking at the dog-vs-cat papers your literature search returned, you see that most studies are based on self-report questionnaires on personality traits, mental health, and life satisfaction. What you don’t find is any data on actual (mental or physical) health measures, and no experiments. You therefore decide to make a bold claim come up with the carefully thought-through hypothesis that it’s maybe the lifestyle of the dog owners, which includes walking their dog several times per day, engaging in fun and healthy activities such as agility competitions, and taking them on trips, that gives them that extra boost in happiness. You could therefore answer your question in the following way:

Dog owners are happier than cat owners because of the dog-related activities they engage in.

Now you have to verify that your hypothesis fulfills the two requirements we introduced at the beginning of this resource article: falsifiability and testability . If it can’t be wrong and can’t be tested, it’s not a hypothesis. We are lucky, however, because yes, we can test whether owning a dog but not engaging in any of those activities leads to lower levels of happiness or well-being than owning a dog and playing and running around with them or taking them on trips.  

Writing a Hypothesis Step 3:

Make your predictions and define your variables. We have verified that we can test our hypothesis, but now we have to define all the relevant variables, design our experiment or data analysis, and make precise predictions. You could, for example, decide to study dog owners (not surprising at this point), let them fill in questionnaires about their lifestyle as well as their life satisfaction (as other studies did), and then compare two groups of active and inactive dog owners. Alternatively, if you want to go beyond the data that earlier studies produced and analyzed and directly manipulate the activity level of your dog owners to study the effect of that manipulation, you could invite them to your lab, select groups of participants with similar lifestyles, make them change their lifestyle (e.g., couch potato dog owners start agility classes, very active ones have to refrain from any fun activities for a certain period of time) and assess their happiness levels before and after the intervention. In both cases, your independent variable would be “ level of engagement in fun activities with dog” and your dependent variable would be happiness or well-being . 

Examples of a Good and Bad Hypothesis

Let’s look at a few examples of good and bad hypotheses to get you started.

Good Hypothesis Examples

Bad hypothesis examples, tips for writing a research hypothesis.

If you understood the distinction between a hypothesis and a prediction we made at the beginning of this article, then you will have no problem formulating your hypotheses and predictions correctly. To refresh your memory: We have to (1) look at existing evidence, (2) come up with a hypothesis, (3) make a prediction, and (4) design an experiment. For example, you could summarize your dog/happiness study like this:

(1) While research suggests that dog owners are happier than cat owners, there are no reports on what factors drive this difference. (2) We hypothesized that it is the fun activities that many dog owners (but very few cat owners) engage in with their pets that increases their happiness levels. (3) We thus predicted that preventing very active dog owners from engaging in such activities for some time and making very inactive dog owners take up such activities would lead to an increase and decrease in their overall self-ratings of happiness, respectively. (4) To test this, we invited dog owners into our lab, assessed their mental and emotional well-being through questionnaires, and then assigned them to an “active” and an “inactive” group, depending on… 

Note that you use “we hypothesize” only for your hypothesis, not for your experimental prediction, and “would” or “if – then” only for your prediction, not your hypothesis. A hypothesis that states that something “would” affect something else sounds as if you don’t have enough confidence to make a clear statement—in which case you can’t expect your readers to believe in your research either. Write in the present tense, don’t use modal verbs that express varying degrees of certainty (such as may, might, or could ), and remember that you are not drawing a conclusion while trying not to exaggerate but making a clear statement that you then, in a way, try to disprove . And if that happens, that is not something to fear but an important part of the scientific process.

Similarly, don’t use “we hypothesize” when you explain the implications of your research or make predictions in the conclusion section of your manuscript, since these are clearly not hypotheses in the true sense of the word. As we said earlier, you will find that many authors of academic articles do not seem to care too much about these rather subtle distinctions, but thinking very clearly about your own research will not only help you write better but also ensure that even that infamous Reviewer 2 will find fewer reasons to nitpick about your manuscript. 

Perfect Your Manuscript With Professional Editing

Now that you know how to write a strong research hypothesis for your research paper, you might be interested in our free AI proofreader , Wordvice AI, which finds and fixes errors in grammar, punctuation, and word choice in academic texts. Or if you are interested in human proofreading , check out our English editing services , including research paper editing and manuscript editing .

On the Wordvice academic resources website , you can also find many more articles and other resources that can help you with writing the other parts of your research paper , with making a research paper outline before you put everything together, or with writing an effective cover letter once you are ready to submit.

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Research Question Examples – Get Inspiration for Your Research Paper

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When writing a thesis, dissertation, or any other type of research paper , the research question represents one of the core elements. The research question is typically adjusted and refined throughout the entire research process , as it is difficult to compress the studied issues or focus points into one defining question.

In this article, we provide information on how to create an optimal research question with research question examples.

Inhaltsverzeichnis

• 1 In a Nutshell: Research question examples
• 2 Definition: Research question examples
• 3 Types of research question examples
• 4 Research question examples

In a Nutshell: Research question examples

• The goal of a research paper is to answer the research question.
• This article provides research question examples that are based on quantitative, qualitative, and mixed-methods approaches.
• The FINER criteria model is a useful tool to check whether a research question is of good quality.
• This article provides a variety of research question examples that should be avoided and their respective corrected versions.

Definition: Research question examples

Research questions are fundamental in a research study, as they depict the topics and issues that are discussed and analyzed and help define a systematic research process . In other words, the aim of a study is to answer the respective research question.

Other imperative research components such as the methodology and hypotheses can be determined through the research question. Research questions can be categorized into 3 different types:

• Qualitative research questions
• Quantitative research questions
• Mixed-methods research questions

Types of research question examples

Depending on your research design, the research question is determined by the methods you use. The following table shows research question examples for the different types of research:

The FINER criteria

The FINER criteria model consists of 5 components, which can be checked off to determine whether a research question is of high quality:

It is important to make sure that the research question is feasible. This means that the issues in question need to be realistic to investigate. To ensure feasibility, it should be considered whether the researcher is able to collect data for the research and if the researcher possesses the right skills and resources to do so.

Interesting

When constructing a research question, it is essential that it does not only interest the researcher, but also the society or community that may be confronted by a research topic.

When conducting research, you should aim for an investigation that can contribute to already existing findings and studies.

Ethical considerations should be respected in order to construct good research questions. This means that they should be approved by relevant review boards and authorities.

It is essential to consider whether your research is relevant to your study field and the general public.

Research question examples

The following table shows bad research question examples and improved versions with respective explanations:

Explanation

How does sugar impact your body?

This question is too broad for research.

How does a daily dose of 35 g of sugar impact the energy levels of 25-35-year-old women?

This question is more specified and can be researched with a mixed-methods approach.

Why is there a housing crisis in Denmark?

Starting a research question with “why” often indicates that it is not specific enough. There are too many ways to answer it.

How do internationalization policies at Danish universities impact the vacancy and affordability of housing in Denmark?

This question is more narrowed to a particular issue, which indicates a much clearer direction of research.

Are the unemployment policies better in the US or in Australia?

This question is too subjective, as an assumption is made with no clear supportive research.

How do the US and Australia compare in unemployment benefits among the lower class with mental health problems?

This question is more objective and does not make any assumptions of possible outcomes. It is also specified to a focus group, which makes the topic more researchable.

How can more people be urged to participate in the regional elections?

Broad normative questions are generally not relevant to use in research.

What strategies may help to motivate the 18-30-year-old population to participate in the regional elections?

This question indicates that there are possible solutions as the question is more specified.

Did drug abuse increase in Germany in the past 5 years?

Questions that can be answered with yes or no should be avoided.

How has the number of drug abuse cases been impacted by social, economic, and political aspects in Germany in the past 5 years?

This question has more depth and requires research to be answered.

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What are some good research question examples?

• What are the experiences of caretakers interacting with autistic children at their work?
• What are the viewpoints of student workers at government facilities?
• What were the voting rates in the 2016 US presidential election compared to the one before?
• What is the demographic of Japan in 2023 compared to 2013?

What makes a good research question example?

Firstly, it is important to choose what type of research question: Qualitative, quantitative, or mixed methods research questions. The FINER criteria model can help construct a good research question.

What is an example of a good and bad research question?

✘ How does sugar impact your body?

✓ How does a daily dose of 35 g of sugar impact the energy levels of 25-35-year-old women?

There are even more well-written and bad research question examples in this article.

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• Bad vs Good Survey Questions + [11 Examples]

The success of your survey starts with the kind of questions you ask. Bad survey questions make it difficult for you to gather data objectively while good survey questions allow you to collect insightful data that can be used during a systematic investigation. 

Many times, it can be difficult to separate bad survey questions from good survey questions and this poses a huge challenge in research.  In this article, we will differentiate bad survey questions from good ones to help you create better surveys in the future. 

What is a Good Survey Question? 

A good survey question is one that allows you to gather clear, unbiased responses from survey respondents. With a good survey question, you can gain clear insights into the thoughts, experiences, and expectations of your target audience for better decision-making. 

For instance, in market research, good survey questions will provide you with enough information on the buyer’s journey and how well your brand interacts with them across different touchpoints. This would help you optimize your product to suit your needs. 

Tips for Writing Good Survey Questions  

• Clearly outline the purpose of the survey. In this sense, you should have a well-defined idea of what you intend to achieve with your survey. Do you want to gather feedback for a product or find out what customers think about a business decision?
• Make sure your questions are simple, straight to the point, and easy to understand. Avoid making use of vague and ambiguous words.
• Avoid having too many options especially in your multiple-choice and ranking questions . This would help you reduce survey dropout rates.
• Avoid double-barrelled questions: Ensure that each question requests one specific piece of information from respondents. In other words, do not use one question to gather information for multiple contexts. 
• When necessary, include neutral answer options.
• Avoid leading and loaded questions . These kinds of questions are infused with biases that prevent survey respondents from providing objective responses. 

Examples of Good Survey Questions

Likert survey question.

A Likert scale question is a type of survey question that allows you to measure a respondent’s disposition towards specific assertions in a research context. With a Likert scale question, you can find out the extent to which respondents agree or disagree with different statements in your research. 

Likert scale questions are made up of 3,5 or 7-point ranking scales that allow you to indicate the degree to which you agree with the statement in question. All Likert scale questions have a mid-point that caters to neutral responses; that is, respondents who neither agree nor disagree with the assertion. 

Likert scale questions are one of the best methods of collecting quantitative data in research. A Likert scale question can be unipolar or bipolar. While a unipolar Likert scale question has one pole and measures one quality, a bipolar Likert scale has two opposites and focuses on two qualities. 

Examples of Likert Scale Questions in Surveys  

1. How satisfied are you with our customer experience?

• Very satisfied
• Somewhat satisfied
• Neither satisfied nor dissatisfied
• Somewhat dissatisfied
• Very dissatisfied 

2. I enjoyed using this product.

• Strongly agree
• Neither agree nor disagree
• Strongly agree nor disagree

Why is a Likert Scale Question a Good Survey Question?  

It is important to understand what makes a Likert scale question one of the best examples of a good survey question. Likert scale questions are really easy to create and they are simple and straight to the point without complexities. 

Also, with little or no biases, they help you to capture respondents’ emotions, thoughts, and emotions which translates to valid research data. Likert scale questions also account for variations in people’s thoughts and experiences and represent these adequately. 

Dichotomous Questions  

A dichotomous question is a type of survey question that has only two possible options which are typically parallel; that is, true/false, yes/no, agree/disagree. Survey respondents cannot provide neutral responses to dichotomous questions as there is no allowance for such.

Dichotomous questions are simple, direct, and straight to the point, and they are best used when you need to collect definite responses from your audience. However, because of their direct nature, dichotomous questions can be limiting in nature and prevent respondents from providing enough information in research. 

Examples of Dichotomous Questions in Research

1. Do you enjoy using our product?

2. Was this article helpful?

3. Our customer support team was very responsive.

Multiple-Choice Questions

A multiple-choice question is a type of close-ended question that provides respondents with a fixed set of answer options they can choose from. Depending on the multiple-choice question, respondents are allowed to choose one option or multiple options that they agree with. 

Every multiple-choice question is made up of 3 parts which are the stem, answer, and distractors. The stem is the question, the answer is the appropriate response to the question while the distractors are other options listed in the MCQ. 

Examples of Multiple Choice Questions in Research  

1. What is your gender?

• Others (please indicate)

2. Which of these would you prefer for breakfast?

• Tea and Bread

How to Identify Bad Survey Questions

A bad survey question is one that prevents respondents from providing objective answers in research. These questions usually contain several biases that make it difficult for survey respondents to communicate their true thoughts, preferences, and experiences. 

Many times, having a poor survey response rate, high survey dropout rate, and subjective research outcomes are indicators of bad survey questions in research. To prevent these, you must know the features of bad survey questions so that you can work on avoiding them. 

Features of Bad Survey Questions  

• Bad survey questions use biased language to influence survey respondents. 
• These questions are usually vague, complex, and ambiguous. 
• Bad survey questions contain inherent biases that prevent respondents from providing objective answers. 
• Some bad survey questions request multiple information at the same time. 
• In many cases, these questions are absolute; thereby, preventing respondents from providing meaningful feedback.  
• Bad survey questions do not field mutually exclusive options. This often leads to confusion in the minds of the respondents. 
• Bad survey questions do not lead to variability in responses. This makes it difficult for survey data to be organized and processed accordingly. 

Examples of Bad Survey Questions

1. double-barreled question.

This is a type of survey question that addresses more than one issue but provides for only one response. It is also known as a double direct question because it weaves multiple issues into one and expects respondents to address these issues with only one answer. 

Double-barreled questions are problematic in surveys because they can be confusing and misleading. Weaving multiple assertions into one question that demands a single response makes it nearly impossible for respondents to agree to one assertion and leave out the others. 

Examples of Double-Barrelled Questions

a. Do you find our product interesting and useful?

b. How satisfied are you with our customer service and service delivery?

2. Loaded Questions

A loaded question is a type of question with inherent biases. It typically contains a controversial assumption that typically presupposes that the respondent is guilty of a specific action or behavior. Many times, the assumptions in a loaded question are unverified and this is what makes them problematic. 

A loaded question is a bad survey question because it imposes unverified implicit or explicit assumptions on the respondent. This makes it difficult for the respondent to freely communicate his or her thoughts and experiences about the issue at hand. 

Examples of Loaded Questions in Research 

a. Have you stopped smoking before the incident happened?

This question assumes that the respondent smokes which may not be the case. Providing a yes/no answer to this question already confirms the intrinsic bias of the respondent’s smoking habit. 

b. Do you think we should report this criminal?

This question presupposes that the person in question is a criminal. Whether you answer yes/no to this question, it still confirms the existing bias. 

3. Leading Questions

This is a type of survey question that subtly prompts the respondent to provide answers in line with predetermined responses. With a leading question, the researcher already knows what he or she wants you to say so they craft the question to make you respond exactly how they want. 

A leading question is a bad survey question because it leads to survey response bias and typically boxes respondents into a corner. This is because it is extremely suggestive. Leading questions can be based on assumptions, interconnected statements, coercion, or direct implications. 

Examples of Leading Questions in Survey Research 

a. How well did our excellent services meet your needs?

b. If you enjoyed this event, would you like to check out our other activities? 

4. Negative Questions

A negative question is a type of survey question that requires a negative answer for a positive response and a positive answer for a negative response. It is a bad survey question because it is quite complex and can confuse respondents. 

As we’ve said earlier, the best kinds of survey questions are simple, straight to the point, and easy to understand. Having a negative question or double negative question in your survey defeats this purpose and can affect the quality of information you gather from your survey. 

Examples of Negative Questions in Surveys 

a. I don’t think your product is not too expensive.

b. I don’t enjoy using this product. 

5. Vague Questions

A vague question is one that is uncertain or unclear. This type of question does not seek a specific response and it is usually too broad or poorly defined. Because vague questions are not restricted to a specific context, they always result in generic responses that are not useful in research. 

Vague questions almost defeat the purpose of your survey because they make it difficult for you to gather valid data. To avoid vague questions in your survey, ensure that your questions are crafted in a way that they are easy to understand, specific, and well-defined for your audience.

Examples of Vague Questions in Surveys  

a. Do you think people enjoy using our product? 

b. Do we have the best product in the market? 

How to Create Good Online Surveys on Formplus

With Formplus, you can say goodbye to bad online surveys. Our form builder is easy to use and has more than 30 form fields that help you collect and process different types of information without stress. Follow these easy steps to create good online surveys using Formplus.

1. Create your Formplus account for free on www.formpl.us/signup . If you already have a Formplus account, simply login to access your dashboard.

2. On your dashboard, click the “create new form” option to start working on your online survey. Alternatively, you can choose any of the templates and edit them to suit your needs in the form builder.

3. The Formplus builder has more than 30 fields that you can add to your survey easily. All you have to do is drag preferred fields from the field section into your form. You’d find the field section on the left corner of the form builder. 

4. You can use the multi-page option to break your survey into different pages and sections. This makes your survey layout neater and more appealing. 

5. After adding the fields you want, save the form to automatically access the customization section of the form builder. 

6. Use the form customization options to change the appearance of your online survey. You can add background images, your organization’s logo, and also change the form font and layout as you wish. 

7. Copy the form link and start sharing your online survey. Formplus has multiple form sharing options that take the stress of you by making it easier for you to administer your survey. 

8. For example, you can send out email invitations to respondents or use our social media direct sharing buttons to share your form with your online audience. 

9. Don’t forget to monitor the form analytics dashboard to gain insights into the survey response rate and other important numbers. 

Conclusion  

To get the most out of your survey, of any kind, you must start with the right type of questions. It doesn’t matter whether you have the best survey design or the most effective sharing platforms; bad survey questions will ruin your data collection process. 

A lot of effort goes into surveys and data collection and this is why you must strive to get them right at the first trial. Knowing the difference between bad survey questions and good survey questions takes you even closer to having an effective data collection process. 

Begin your data collection with a tool that provides good survey questions in free pre-designed templates.

Connect to Formplus, Get Started Now - It's Free!

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Research Question

Ai generator.

A research question serves as the foundation of any academic study, driving the investigation and framing the scope of inquiry. It focuses the research efforts, ensuring that the study addresses pertinent issues systematically. Crafting a strong research question is essential as it directs the methodology, data collection, and analysis, ultimately shaping the study’s conclusions and contributions to the field.

What is a Research Question?

A research question is the central query that guides a study, focusing on a specific problem or issue. It defines the purpose and direction of the research, influencing the methodology and analysis. A well-crafted research question ensures the study remains relevant, systematic, and contributes valuable insights to the field.

Types of Research Questions

Research questions are a crucial part of any research project. They guide the direction and focus of the study. Here are the main types of research questions:

1. Descriptive Research Questions

These questions aim to describe the characteristics or functions of a specific phenomenon or group. They often begin with “what,” “who,” “where,” “when,” or “how.”

• What are the common symptoms of depression in teenagers?

2. Comparative Research Questions

These questions compare two or more groups or variables to identify differences or similarities.

• How do the academic performances of students in private schools compare to those in public schools?

3. Correlational Research Questions

These questions seek to identify the relationships between two or more variables. They often use terms like “relationship,” “association,” or “correlation.”

• Is there a relationship between social media usage and self-esteem among adolescents?

4. Causal Research Questions

These questions aim to determine whether one variable causes or influences another. They are often used in experimental research.

• Does a new teaching method improve student engagement in the classroom?

5. Exploratory Research Questions

These questions are used when the researcher is exploring a new area or seeking to understand a complex phenomenon. They are often open-ended.

• What factors contribute to the success of start-up companies in the tech industry?

6. Predictive Research Questions

These questions aim to predict future occurrences based on current or past data. They often use terms like “predict,” “forecast,” or “expect.”

• Can high school GPA predict college success?

7. Evaluative Research Questions

These questions assess the effectiveness or impact of a program, intervention, or policy .

• How effective is the new community outreach program in reducing homelessness?

8. Ethnographic Research Questions

These questions are used in qualitative research to understand cultural phenomena from the perspective of the participants.

• How do cultural beliefs influence healthcare practices in rural communities?

9. Case Study Research Questions

These questions focus on an in-depth analysis of a specific case, event, or instance.

• What were the critical factors that led to the failure of Company X?

10. Phenomenological Research Questions

These questions explore the lived experiences of individuals to understand a particular phenomenon.

• What is the experience of living with chronic pain?

Research Question Format

A well-formulated research question is essential for guiding your study effectively. Follow this format to ensure clarity and precision:

• Begin with a broad subject area.
• Example: “Education technology”
• Define a specific aspect or variable.
• Example: “Impact of digital tools”
• Decide if you are describing, comparing, or investigating relationships.
• Example: “Effectiveness”
• Identify who or what is being studied.
• Example: “High school students”
• Formulate the complete question.
• Example: “How effective are digital tools in enhancing the learning experience of high school students?”

Sample Format: “How [specific aspect] affects [target population] in [context]?” Example: “How does the use of digital tools affect the academic performance of high school students in urban areas?”

Research Question Examples

Research questions in business.

• “What are the primary factors influencing customer loyalty in the retail industry?”
• “How does employee satisfaction differ between remote work and in-office work environments in tech companies?”
• “What is the relationship between social media marketing and brand awareness among small businesses?”
• “How does implementing a four-day workweek impact productivity in consulting firms?”
• “What are the emerging trends in consumer behavior post-COVID-19 in the e-commerce sector?”
• “Why do some startups succeed in attracting venture capital while others do not?”
• “How effective is corporate social responsibility in enhancing brand reputation for multinational companies?”
• “How do decision-making processes in family-owned businesses differ from those in publicly traded companies?”
• “What strategies do successful entrepreneurs use to scale their businesses in competitive markets?”
• “How does supply chain management affect the operational efficiency of manufacturing firms?”

Research Questions in Education

• “What are the most common challenges faced by first-year teachers in urban schools?”
• “How do student achievement levels differ between traditional classrooms and blended learning environments?”
• “What is the relationship between parental involvement and student academic performance in elementary schools?”
• “How does the implementation of project-based learning affect critical thinking skills in middle school students?”
• “What are the emerging trends in the use of artificial intelligence in education?”
• “Why do some students perform better in standardized tests than others despite similar instructional methods?”
• “How effective is the flipped classroom model in improving student engagement and learning outcomes in high school science classes?”
• “How do teachers’ professional development programs impact teaching practices and student outcomes in rural schools?”
• “What strategies can be employed to reduce the dropout rate among high school students in low-income areas?”
• “How does classroom size affect the quality of teaching and learning in elementary schools?”

Research Questions in Health Care

• “What are the most common barriers to accessing mental health services in rural areas?”
• “How does patient satisfaction differ between telemedicine and in-person consultations in primary care?”
• “What is the relationship between diet and the incidence of type 2 diabetes in adults?”
• “How does regular physical activity influence the recovery rate of patients with cardiovascular diseases?”
• “What are the emerging trends in the use of wearable technology for health monitoring?”
• “Why do some patients adhere to their medication regimen while others do not despite similar health conditions?”
• “How effective are community-based health interventions in reducing obesity rates among children?”
• “How do interdisciplinary team meetings impact patient care in hospitals?”
• “What strategies can be implemented to reduce the spread of infectious diseases in healthcare settings?”
• “How does nurse staffing level affect patient outcomes in intensive care units?”

Research Questions in Computer Science

• “What are the key features of successful machine learning algorithms used in natural language processing?”
• “How does the performance of quantum computing compare to classical computing in solving complex optimization problems?”
• “What is the relationship between software development methodologies and project success rates in large enterprises?”
• “How does the implementation of cybersecurity protocols impact the frequency of data breaches in financial institutions?”
• “What are the emerging trends in blockchain technology applications beyond cryptocurrency?”
• “Why do certain neural network architectures outperform others in image recognition tasks?”
• “How effective are different code review practices in reducing bugs in open-source software projects?”
• “How do agile development practices influence team productivity and product quality in software startups?”
• “What strategies can improve the scalability of distributed systems in cloud computing environments?”
• “How does the choice of programming language affect the performance and maintainability of enterprise-level software applications?”

Research Questions in Psychology

• “What are the most common symptoms of anxiety disorders among adolescents?”
• “How does the level of job satisfaction differ between remote workers and in-office workers?”
• “What is the relationship between social media use and self-esteem in teenagers?”
• “How does cognitive-behavioral therapy (CBT) affect the severity of depression symptoms in adults?”
• “What are the emerging trends in the treatment of post-traumatic stress disorder (PTSD)?”
• “Why do some individuals develop resilience in the face of adversity while others do not?”
• “How effective are mindfulness-based interventions in reducing stress levels among college students?”
• “How does group therapy influence the social skills development of children with autism spectrum disorder?”
• “What strategies can improve the early diagnosis of bipolar disorder in young adults?”
• “How do sleep patterns affect cognitive functioning and academic performance in high school students?”

More Research Question Examples

Research question examples for students.

• “What are the primary study habits of high-achieving college students?”
• “How do academic performances differ between students who participate in extracurricular activities and those who do not?”
• “What is the relationship between time management skills and academic success in high school students?”
• “How does the use of technology in the classroom affect students’ engagement and learning outcomes?”
• “What are the emerging trends in online learning platforms for high school students?”
• “Why do some students excel in standardized tests while others struggle despite similar study efforts?”
• “How effective are peer tutoring programs in improving students’ understanding of complex subjects?”
• “How do different teaching methods impact the learning process of students with learning disabilities?”
• “What strategies can help reduce test anxiety among middle school students?”
• “How does participation in group projects affect the development of collaboration skills in university students?”

Research Question Examples for College Students

• “What are the most common stressors faced by college students during final exams?”
• “How does academic performance differ between students who live on campus and those who commute?”
• “What is the relationship between part-time employment and GPA among college students?”
• “How does participation in study abroad programs impact cultural awareness and academic performance?”
• “What are the emerging trends in college students’ use of social media for academic purposes?”
• “Why do some college students engage in academic dishonesty despite awareness of the consequences?”
• “How effective are university mental health services in addressing students’ mental health issues?”
• “How do different learning styles affect the academic success of college students in online courses?”
• “What strategies can be employed to improve retention rates among first-year college students?”
• “How does participation in extracurricular activities influence leadership skills development in college students?”

Research Question Examples in Statistics

• “What are the most common statistical methods used in medical research?”
• “How does the accuracy of machine learning models compare to traditional statistical methods in predicting housing prices?”
• “What is the relationship between sample size and the power of a statistical test in clinical trials?”
• “How does the use of random sampling affect the validity of survey results in social science research?”
• “What are the emerging trends in the application of Bayesian statistics in data science?”
• “Why do some datasets require transformation before applying linear regression models?”
• “How effective are bootstrapping techniques in estimating the confidence intervals of small sample data?”
• “How do different imputation methods impact the results of analyses with missing data?”
• “What strategies can improve the interpretation of interaction effects in multiple regression analysis?”
• “How does the choice of statistical software affect the efficiency of data analysis in academic research?”

Research Question Examples in Socialogy

• “What are the primary social factors contributing to urban poverty in major cities?”
• “How does the level of social integration differ between immigrants and native-born citizens in urban areas?”
• “What is the relationship between educational attainment and social mobility in different socioeconomic classes?”
• “How does exposure to social media influence political participation among young adults?”
• “What are the emerging trends in family structures and their impact on child development?”
• “Why do certain communities exhibit higher levels of civic engagement than others?”
• “How effective are community policing strategies in reducing crime rates in diverse neighborhoods?”
• “How do socialization processes differ in single-parent households compared to two-parent households?”
• “What strategies can be implemented to reduce racial disparities in higher education enrollment?”
• “How does the implementation of public housing policies affect the quality of life for low-income families?”

Research Question Examples in Biology

• “What are the primary characteristics of the various stages of mitosis in eukaryotic cells?”
• “How do the reproductive strategies of amphibians compare to those of reptiles?”
• “What is the relationship between genetic diversity and the resilience of plant species to climate change?”
• “How does the presence of pollutants in freshwater ecosystems impact the growth and development of aquatic organisms?”
• “What are the emerging trends in the use of CRISPR technology for gene editing in agricultural crops?”
• “Why do certain bacteria develop antibiotic resistance more rapidly than others?”
• “How effective are different conservation strategies in protecting endangered species?”
• “How do various environmental factors influence the process of photosynthesis in marine algae?”
• “What strategies can enhance the effectiveness of reforestation programs in tropical rainforests?”
• “How does the method of seed dispersal affect the spatial distribution and genetic diversity of plant populations?”

Research Question Examples in History

• “What were the key social and economic factors that led to the Industrial Revolution in Britain?”
• “How did the political systems of ancient Athens and ancient Sparta differ in terms of governance and citizen participation?”
• “What is the relationship between the Renaissance and the subsequent scientific revolution in Europe?”
• “How did the Treaty of Versailles contribute to the rise of Adolf Hitler and the onset of World War II?”
• “What are the emerging perspectives on the causes and impacts of the American Civil Rights Movement?”
• “Why did the Roman Empire decline and eventually fall despite its extensive power and reach?”
• “How effective were the New Deal programs in alleviating the effects of the Great Depression in the United States?”
• “How did the processes of colonization and decolonization affect the political landscape of Africa in the 20th century?”
• “What strategies did the suffragette movement use to secure voting rights for women in the early 20th century?”
• “How did the logistics and strategies of the D-Day invasion contribute to the Allied victory in World War II?”

Importance of Research Questions

Research questions are fundamental to the success and integrity of any study. Their importance can be highlighted through several key aspects:

• Research questions provide a clear focus and direction for the study, ensuring that the researcher remains on track.
• Example: “How does online learning impact student engagement in higher education?”
• They establish the boundaries of the research, determining what will be included or excluded.
• Example: “What are the effects of air pollution on respiratory health in urban areas?”
• Research questions dictate the choice of research design, methodology, and data collection techniques.
• Example: “What is the relationship between physical activity and mental health in adolescents?”
• They make the objectives of the research explicit, providing clarity and precision to the study’s goals.
• Example: “Why do some startups succeed in securing venture capital while others fail?”
• Well-crafted research questions emphasize the significance and relevance of the study, justifying its importance.
• Example: “How effective are public health campaigns in increasing vaccination rates among young adults?”
• They enable a systematic approach to inquiry, ensuring that the study is coherent and logically structured.
• Example: “What are the social and economic impacts of remote work on urban communities?”
• Research questions offer a framework for analyzing and interpreting data, guiding the researcher in making sense of the findings.
• Example: “How does social media usage affect self-esteem among teenagers?”
• By addressing specific gaps or exploring new areas, research questions ensure that the study contributes meaningfully to the existing body of knowledge.
• Example: “What are the emerging trends in the use of artificial intelligence in healthcare?”
• Clear and precise research questions increase the credibility and reliability of the research by providing a focused approach.
• Example: “How do educational interventions impact literacy rates in low-income communities?”
• They help in clearly communicating the purpose and findings of the research to others, including stakeholders, peers, and the broader academic community.
• Example: “What strategies are most effective in reducing youth unemployment in developing countries?”

Research Question vs. Hypothesis

Chracteristics of research questions.

Research questions are fundamental to the research process as they guide the direction and focus of a study. Here are the key characteristics of effective research questions:

1. Clear and Specific

• The question should be clearly articulated and specific enough to be understood without ambiguity.
• Example: “What are the effects of social media on teenagers’ mental health?” rather than “How does social media affect people?”

2. Focused and Researchable

• The question should be narrow enough to be answerable through research and data collection.
• Example: “How does participation in extracurricular activities impact academic performance in high school students?” rather than “How do activities affect school performance?”

3. Complex and Analytical

• The question should require more than a simple yes or no answer and should invite analysis and discussion.
• Example: “What factors contribute to the success of renewable energy initiatives in urban areas?” rather than “Is renewable energy successful?”

4. Relevant and Significant

• The question should address an important issue or problem in the field of study and contribute to knowledge or practice.
• Example: “How does climate change affect agricultural productivity in developing countries?” rather than “What is climate change?”

5. Feasible and Practical

• The question should be feasible to answer within the constraints of time, resources, and access to information.
• Example: “What are the challenges faced by remote workers in the tech industry during the COVID-19 pandemic?” rather than “What are the challenges of remote work?”

6. Original and Novel

• The question should offer a new perspective or explore an area that has not been extensively studied.
• Example: “How do virtual reality technologies influence empathy in healthcare training?” rather than “What is virtual reality?”
• The question should be framed in a way that ensures the research can be conducted ethically.
• Example: “What are the impacts of privacy laws on consumer data protection in the digital age?” rather than “How can we collect personal data more effectively?”

8. Open-Ended

• The question should encourage detailed responses and exploration, rather than limiting answers to a simple yes or no.
• Example: “In what ways do cultural differences affect communication styles in multinational companies?” rather than “Do cultural differences affect communication?”

9. Aligned with Research Goals

• The question should align with the overall objectives of the research project or study.
• Example: “How do early childhood education programs influence long-term academic achievement?” if the goal is to understand educational impacts.

10. Based on Prior Research

• The question should build on existing literature and research, identifying gaps or new angles to explore.
• Example: “What strategies have proven effective in reducing urban air pollution in European cities?” after reviewing current studies on air pollution strategies.

Benefits of Research Question

Research questions are fundamental to the research process and offer numerous benefits, which include the following:

1. Guides the Research Process

A well-defined research question provides a clear focus and direction for your study. It helps in determining what data to collect, how to collect it, and how to analyze it.

Benefit: Ensures that the research stays on track and addresses the specific issue at hand.

2. Clarifies the Purpose of the Study

Research questions help to articulate the purpose and objectives of the study. They make it clear what the researcher intends to explore, describe, compare, or test.

Benefit: Helps in communicating the goals and significance of the research to others, including stakeholders and funding bodies.

3. Determines the Research Design

The type of research question informs the research design, including the choice of methodology, data collection methods, and analysis techniques.

Benefit: Ensures that the chosen research design is appropriate for answering the specific research question, enhancing the validity and reliability of the results.

4. Enhances Literature Review

A well-crafted research question provides a framework for conducting a thorough literature review. It helps in identifying relevant studies, theories, and gaps in existing knowledge.

Benefit: Facilitates a comprehensive understanding of the topic and ensures that the research is grounded in existing literature.

5. Focuses Data Collection

Research questions help in identifying the specific data needed to answer them. This focus prevents the collection of unnecessary data and ensures that all collected data is relevant to the study.

Benefit: Increases the efficiency of data collection and analysis, saving time and resources.

6. Improves Data Analysis

Having a clear research question aids in the selection of appropriate data analysis methods. It helps in determining how the data will be analyzed to draw meaningful conclusions.

Benefit: Enhances the accuracy and relevance of the findings, making them more impactful.

7. Facilitates Hypothesis Formation

In quantitative research, research questions often lead to the development of hypotheses that can be tested statistically.

Benefit: Provides a basis for hypothesis testing, which is essential for establishing cause-and-effect relationships.

8. Supports Result Interpretation

Research questions provide a lens through which the results of the study can be interpreted. They help in understanding what the findings mean in the context of the research objectives.

Benefit: Ensures that the conclusions drawn from the research are aligned with the original aims and objectives.

9. Enhances Reporting and Presentation

A clear research question makes it easier to organize and present the research findings. It helps in structuring the research report or presentation logically.

Benefit: Improves the clarity and coherence of the research report, making it more accessible and understandable to the audience.

10. Encourages Critical Thinking

Formulating research questions requires critical thinking and a deep understanding of the subject matter. It encourages researchers to think deeply about what they want to investigate and why.

Benefit: Promotes a more thoughtful and analytical approach to research, leading to more robust and meaningful findings.

How to Write a Research Question

Crafting a strong research question is crucial for guiding your study effectively. Follow these steps to write a clear and focused research question:

Identify a Broad Topic:

Start with a general area of interest that you are passionate about or that is relevant to your field. Example: “Climate change”

Conduct Preliminary Research:

Explore existing literature and studies to understand the current state of knowledge and identify gaps. Example: “Impact of climate change on agriculture”

Narrow Down the Topic:

Focus on a specific aspect or issue within the broad topic to make the research question more manageable. Example: “Effect of climate change on crop yields”

Consider the Scope:

Ensure the question is neither too broad nor too narrow. It should be specific enough to be answerable but broad enough to allow for thorough exploration. Example: “How does climate change affect corn crop yields in the Midwest United States?”

Determine the Research Type:

Decide whether your research will be descriptive, comparative, relational, or causal, as this will shape your question. Example: “How does climate change affect corn crop yields in the Midwest United States over the past decade?”

Formulate the Question:

Write a clear, concise question that specifies the variables, population, and context. Example: “What is the impact of increasing temperatures and changing precipitation patterns on corn crop yields in the Midwest United States from 2010 to 2020?”

Ensure Feasibility:

Make sure the question can be answered within the constraints of your resources, time, and data availability. Example: “How have corn crop yields in the Midwest United States been affected by climate change-related temperature increases and precipitation changes between 2010 and 2020?”

Review and Refine:

Evaluate the question for clarity, focus, and relevance. Revise as necessary to ensure it is well-defined and researchable. Example: “What are the specific impacts of temperature increases and changes in precipitation patterns on corn crop yields in the Midwest United States from 2010 to 2020?”

What is a research question?

A research question is a specific query guiding a study’s focus and objectives, shaping its methodology and analysis.

Why is a research question important?

It provides direction, defines scope, ensures relevance, and guides the methodology of the research.

How do you formulate a research question?

Identify a topic, narrow it down, conduct preliminary research, and ensure it is clear, focused, and researchable.

What makes a good research question?

Clarity, specificity, feasibility, relevance, and the ability to guide the research effectively.

Can a research question change?

Yes, it can evolve based on initial findings, further literature review, and the research process.

What is the difference between a research question and a hypothesis?

A research question guides the study; a hypothesis is a testable prediction about the relationship between variables.

How specific should a research question be?

It should be specific enough to provide clear direction but broad enough to allow for comprehensive investigation.

What are examples of good research questions?

Examples include: “How does social media affect academic performance?” and “What are the impacts of climate change on agriculture?”

Can a research question be too broad?

Yes, a too broad question can make the research unfocused and challenging to address comprehensively.

What role does a research question play in literature reviews?

It helps identify relevant studies, guides the search for literature, and frames the review’s focus.

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CRO Guide   >  Chapter 3.1

Qualitative Research: Definition, Methodology, Limitation & Examples

Qualitative research is a method focused on understanding human behavior and experiences through non-numerical data. Examples of qualitative research include:

• One-on-one interviews,
• Focus groups, Ethnographic research,
• Case studies,
• Record keeping,
• Qualitative observations

In this article, we’ll provide tips and tricks on how to use qualitative research to better understand your audience through real world examples and improve your ROI. We’ll also learn the difference between qualitative and quantitative data.

Table of Contents

Marketers often seek to understand their customers deeply. Qualitative research methods such as face-to-face interviews, focus groups, and qualitative observations can provide valuable insights into your products, your market, and your customers’ opinions and motivations. Understanding these nuances can significantly enhance marketing strategies and overall customer satisfaction.

What is Qualitative Research

Qualitative research is a market research method that focuses on obtaining data through open-ended and conversational communication. This method focuses on the “why” rather than the “what” people think about you. Thus, qualitative research seeks to uncover the underlying motivations, attitudes, and beliefs that drive people’s actions. 

Let’s say you have an online shop catering to a general audience. You do a demographic analysis and you find out that most of your customers are male. Naturally, you will want to find out why women are not buying from you. And that’s what qualitative research will help you find out.

In the case of your online shop, qualitative research would involve reaching out to female non-customers through methods such as in-depth interviews or focus groups. These interactions provide a platform for women to express their thoughts, feelings, and concerns regarding your products or brand. Through qualitative analysis, you can uncover valuable insights into factors such as product preferences, user experience, brand perception, and barriers to purchase.

Types of Qualitative Research Methods

Qualitative research methods are designed in a manner that helps reveal the behavior and perception of a target audience regarding a particular topic.

The most frequently used qualitative analysis methods are one-on-one interviews, focus groups, ethnographic research, case study research, record keeping, and qualitative observation.

1. One-on-one interviews

Conducting one-on-one interviews is one of the most common qualitative research methods. One of the advantages of this method is that it provides a great opportunity to gather precise data about what people think and their motivations.

Spending time talking to customers not only helps marketers understand who their clients are, but also helps with customer care: clients love hearing from brands. This strengthens the relationship between a brand and its clients and paves the way for customer testimonials.

• A company might conduct interviews to understand why a product failed to meet sales expectations.
• A researcher might use interviews to gather personal stories about experiences with healthcare.

These interviews can be performed face-to-face or on the phone and usually last between half an hour to over two hours. 

When a one-on-one interview is conducted face-to-face, it also gives the marketer the opportunity to read the body language of the respondent and match the responses.

2. Focus groups

Focus groups gather a small number of people to discuss and provide feedback on a particular subject. The ideal size of a focus group is usually between five and eight participants. The size of focus groups should reflect the participants’ familiarity with the topic. For less important topics or when participants have little experience, a group of 10 can be effective. For more critical topics or when participants are more knowledgeable, a smaller group of five to six is preferable for deeper discussions.

The main goal of a focus group is to find answers to the “why”, “what”, and “how” questions. This method is highly effective in exploring people’s feelings and ideas in a social setting, where group dynamics can bring out insights that might not emerge in one-on-one situations.

• A focus group could be used to test reactions to a new product concept.
• Marketers might use focus groups to see how different demographic groups react to an advertising campaign.

One advantage that focus groups have is that the marketer doesn’t necessarily have to interact with the group in person. Nowadays focus groups can be sent as online qualitative surveys on various devices.

Focus groups are an expensive option compared to the other qualitative research methods, which is why they are typically used to explain complex processes.

3. Ethnographic research

Ethnographic research is the most in-depth observational method that studies individuals in their naturally occurring environment.

This method aims at understanding the cultures, challenges, motivations, and settings that occur.

• A study of workplace culture within a tech startup.
• Observational research in a remote village to understand local traditions.

Ethnographic research requires the marketer to adapt to the target audiences’ environments (a different organization, a different city, or even a remote location), which is why geographical constraints can be an issue while collecting data.

This type of research can last from a few days to a few years. It’s challenging and time-consuming and solely depends on the expertise of the marketer to be able to analyze, observe, and infer the data.

4. Case study research

The case study method has grown into a valuable qualitative research method. This type of research method is usually used in education or social sciences. It involves a comprehensive examination of a single instance or event, providing detailed insights into complex issues in real-life contexts.  

• Analyzing a single school’s innovative teaching method.
• A detailed study of a patient’s medical treatment over several years.

Case study research may seem difficult to operate, but it’s actually one of the simplest ways of conducting research as it involves a deep dive and thorough understanding of the data collection methods and inferring the data.

5. Record keeping

Record keeping is similar to going to the library: you go over books or any other reference material to collect relevant data. This method uses already existing reliable documents and similar sources of information as a data source.

• Historical research using old newspapers and letters.
• A study on policy changes over the years by examining government records.

This method is useful for constructing a historical context around a research topic or verifying other findings with documented evidence.

6. Qualitative observation

Qualitative observation is a method that uses subjective methodologies to gather systematic information or data. This method deals with the five major sensory organs and their functioning, sight, smell, touch, taste, and hearing.

• Sight : Observing the way customers visually interact with product displays in a store to understand their browsing behaviors and preferences.
• Smell : Noting reactions of consumers to different scents in a fragrance shop to study the impact of olfactory elements on product preference.
• Touch : Watching how individuals interact with different materials in a clothing store to assess the importance of texture in fabric selection.
• Taste : Evaluating reactions of participants in a taste test to identify flavor profiles that appeal to different demographic groups.
• Hearing : Documenting responses to changes in background music within a retail environment to determine its effect on shopping behavior and mood.

Below we are also providing real-life examples of qualitative research that demonstrate practical applications across various contexts:

Qualitative Research Real World Examples

Let’s explore some examples of how qualitative research can be applied in different contexts.

1. Online grocery shop with a predominantly male audience

Method used: one-on-one interviews.

Let’s go back to one of the previous examples. You have an online grocery shop. By nature, it addresses a general audience, but after you do a demographic analysis you find out that most of your customers are male.

One good method to determine why women are not buying from you is to hold one-on-one interviews with potential customers in the category.

Interviewing a sample of potential female customers should reveal why they don’t find your store appealing. The reasons could range from not stocking enough products for women to perhaps the store’s emphasis on heavy-duty tools and automotive products, for example. These insights can guide adjustments in inventory and marketing strategies.

2. Software company launching a new product

Method used: focus groups.

Focus groups are great for establishing product-market fit.

Let’s assume you are a software company that wants to launch a new product and you hold a focus group with 12 people. Although getting their feedback regarding users’ experience with the product is a good thing, this sample is too small to define how the entire market will react to your product.

So what you can do instead is holding multiple focus groups in 20 different geographic regions. Each region should be hosting a group of 12 for each market segment; you can even segment your audience based on age. This would be a better way to establish credibility in the feedback you receive.

3. Alan Pushkin’s “God’s Choice: The Total World of a Fundamentalist Christian School”

Method used: ethnographic research.

Moving from a fictional example to a real-life one, let’s analyze Alan Peshkin’s 1986 book “God’s Choice: The Total World of a Fundamentalist Christian School”.

Peshkin studied the culture of Bethany Baptist Academy by interviewing the students, parents, teachers, and members of the community alike, and spending eighteen months observing them to provide a comprehensive and in-depth analysis of Christian schooling as an alternative to public education.

The study highlights the school’s unified purpose, rigorous academic environment, and strong community support while also pointing out its lack of cultural diversity and openness to differing viewpoints. These insights are crucial for understanding how such educational settings operate and what they offer to students.

Even after discovering all this, Peshkin still presented the school in a positive light and stated that public schools have much to learn from such schools.

Peshkin’s in-depth research represents a qualitative study that uses observations and unstructured interviews, without any assumptions or hypotheses. He utilizes descriptive or non-quantifiable data on Bethany Baptist Academy specifically, without attempting to generalize the findings to other Christian schools.

4. Understanding buyers’ trends

Method used: record keeping.

Another way marketers can use quality research is to understand buyers’ trends. To do this, marketers need to look at historical data for both their company and their industry and identify where buyers are purchasing items in higher volumes.

For example, electronics distributors know that the holiday season is a peak market for sales while life insurance agents find that spring and summer wedding months are good seasons for targeting new clients.

5. Determining products/services missing from the market

Conducting your own research isn’t always necessary. If there are significant breakthroughs in your industry, you can use industry data and adapt it to your marketing needs.

The influx of hacking and hijacking of cloud-based information has made Internet security a topic of many industry reports lately. A software company could use these reports to better understand the problems its clients are facing.

As a result, the company can provide solutions prospects already know they need.

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Qualitative Research Approaches

Once the marketer has decided that their research questions will provide data that is qualitative in nature, the next step is to choose the appropriate qualitative approach.

The approach chosen will take into account the purpose of the research, the role of the researcher, the data collected, the method of data analysis , and how the results will be presented. The most common approaches include:

• Narrative : This method focuses on individual life stories to understand personal experiences and journeys. It examines how people structure their stories and the themes within them to explore human existence. For example, a narrative study might look at cancer survivors to understand their resilience and coping strategies.
• Phenomenology : attempts to understand or explain life experiences or phenomena; It aims to reveal the depth of human consciousness and perception, such as by studying the daily lives of those with chronic illnesses.
• Grounded theory : investigates the process, action, or interaction with the goal of developing a theory “grounded” in observations and empirical data. 
• Ethnography : describes and interprets an ethnic, cultural, or social group;
• Case study : examines episodic events in a definable framework, develops in-depth analyses of single or multiple cases, and generally explains “how”. An example might be studying a community health program to evaluate its success and impact.

How to Analyze Qualitative Data

Analyzing qualitative data involves interpreting non-numerical data to uncover patterns, themes, and deeper insights. This process is typically more subjective and requires a systematic approach to ensure reliability and validity. 

1. Data Collection

Ensure that your data collection methods (e.g., interviews, focus groups, observations) are well-documented and comprehensive. This step is crucial because the quality and depth of the data collected will significantly influence the analysis.

2. Data Preparation

Once collected, the data needs to be organized. Transcribe audio and video recordings, and gather all notes and documents. Ensure that all data is anonymized to protect participant confidentiality where necessary.

3. Familiarization

Immerse yourself in the data by reading through the materials multiple times. This helps you get a general sense of the information and begin identifying patterns or recurring themes.

Develop a coding system to tag data with labels that summarize and account for each piece of information. Codes can be words, phrases, or acronyms that represent how these segments relate to your research questions.

• Descriptive Coding : Summarize the primary topic of the data.
• In Vivo Coding : Use language and terms used by the participants themselves.
• Process Coding : Use gerunds (“-ing” words) to label the processes at play.
• Emotion Coding : Identify and record the emotions conveyed or experienced.

5. Thematic Development

Group codes into themes that represent larger patterns in the data. These themes should relate directly to the research questions and form a coherent narrative about the findings.

6. Interpreting the Data

Interpret the data by constructing a logical narrative. This involves piecing together the themes to explain larger insights about the data. Link the results back to your research objectives and existing literature to bolster your interpretations.

7. Validation

Check the reliability and validity of your findings by reviewing if the interpretations are supported by the data. This may involve revisiting the data multiple times or discussing the findings with colleagues or participants for validation.

8. Reporting

Finally, present the findings in a clear and organized manner. Use direct quotes and detailed descriptions to illustrate the themes and insights. The report should communicate the narrative you’ve built from your data, clearly linking your findings to your research questions.

Limitations of qualitative research

The disadvantages of qualitative research are quite unique. The techniques of the data collector and their own unique observations can alter the information in subtle ways. That being said, these are the qualitative research’s limitations:

1. It’s a time-consuming process

The main drawback of qualitative study is that the process is time-consuming. Another problem is that the interpretations are limited. Personal experience and knowledge influence observations and conclusions.

Thus, qualitative research might take several weeks or months. Also, since this process delves into personal interaction for data collection, discussions often tend to deviate from the main issue to be studied.

2. You can’t verify the results of qualitative research

Because qualitative research is open-ended, participants have more control over the content of the data collected. So the marketer is not able to verify the results objectively against the scenarios stated by the respondents. For example, in a focus group discussing a new product, participants might express their feelings about the design and functionality. However, these opinions are influenced by individual tastes and experiences, making it difficult to ascertain a universally applicable conclusion from these discussions.

3. It’s a labor-intensive approach

Qualitative research requires a labor-intensive analysis process such as categorization, recording, etc. Similarly, qualitative research requires well-experienced marketers to obtain the needed data from a group of respondents.

4. It’s difficult to investigate causality

Qualitative research requires thoughtful planning to ensure the obtained results are accurate. There is no way to analyze qualitative data mathematically. This type of research is based more on opinion and judgment rather than results. Because all qualitative studies are unique they are difficult to replicate.

5. Qualitative research is not statistically representative

Because qualitative research is a perspective-based method of research, the responses given are not measured.

Comparisons can be made and this can lead toward duplication, but for the most part, quantitative data is required for circumstances that need statistical representation and that is not part of the qualitative research process.

While doing a qualitative study, it’s important to cross-reference the data obtained with the quantitative data. By continuously surveying prospects and customers marketers can build a stronger database of useful information.

Quantitative vs. Qualitative Research

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Quantitative and qualitative research are two distinct methodologies used in the field of market research, each offering unique insights and approaches to understanding consumer behavior and preferences.

As we already defined, qualitative analysis seeks to explore the deeper meanings, perceptions, and motivations behind human behavior through non-numerical data. On the other hand, quantitative research focuses on collecting and analyzing numerical data to identify patterns, trends, and statistical relationships.  

Let’s explore their key differences: 

Nature of Data:

• Quantitative research : Involves numerical data that can be measured and analyzed statistically.
• Qualitative research : Focuses on non-numerical data, such as words, images, and observations, to capture subjective experiences and meanings.

Research Questions:

• Quantitative research : Typically addresses questions related to “how many,” “how much,” or “to what extent,” aiming to quantify relationships and patterns.
• Qualitative research: Explores questions related to “why” and “how,” aiming to understand the underlying motivations, beliefs, and perceptions of individuals.

Data Collection Methods:

• Quantitative research : Relies on structured surveys, experiments, or observations with predefined variables and measures.
• Qualitative research : Utilizes open-ended interviews, focus groups, participant observations, and textual analysis to gather rich, contextually nuanced data.

Analysis Techniques:

• Quantitative research: Involves statistical analysis to identify correlations, associations, or differences between variables.
• Qualitative research: Employs thematic analysis, coding, and interpretation to uncover patterns, themes, and insights within qualitative data.

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• Last modified: January 3, 2023
• Conversion Rate Optimization , User Research

Valentin Radu

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Vegetables and Fruits

• Vegetables and fruits are an important part of a healthy diet, and variety is as important as quantity.
• No single fruit or vegetable provides all of the nutrients you need to be healthy. Eat plenty every day.

A diet rich in vegetables and fruits can lower blood pressure, reduce the risk of heart disease and stroke, prevent some types of cancer, lower risk of eye and digestive problems, and have a positive effect upon blood sugar, which can help keep appetite in check. Eating non-starchy vegetables and fruits like apples, pears, and green leafy vegetables may even promote weight loss. [1] Their low glycemic loads prevent blood sugar spikes that can increase hunger.

At least nine different families of fruits and vegetables exist, each with potentially hundreds of different plant compounds that are beneficial to health. Eat a variety of types and colors of produce in order to give your body the mix of nutrients it needs. This not only ensures a greater diversity of beneficial plant chemicals but also creates eye-appealing meals.

Tips to eat more vegetables and fruits each day

• Keep fruit where you can see it . Place several ready-to-eat washed whole fruits in a bowl or store chopped colorful fruits in a glass bowl in the refrigerator to tempt a sweet tooth.
• Explore the produce aisle and choose something new . Variety and color are key to a healthy diet. On most days, try to get at least one serving from each of the following categories: dark green leafy vegetables; yellow or orange fruits and vegetables; red fruits and vegetables; legumes (beans) and peas; and citrus fruits.
• Skip the potatoes . Choose other vegetables that are packed with different nutrients and more slowly digested  carbohydrates .
• Make it a meal . Try cooking new  recipes that include more vegetables. Salads, soups, and stir-fries are just a few ideas for increasing the number of tasty vegetables in your meals.

5 common questions about fruits and vegetables.

Vegetables, fruits, and disease, cardiovascular disease.

There is compelling evidence that a diet rich in fruits and vegetables can lower the risk of heart disease and stroke.

• A meta-analysis of cohort studies following 469,551 participants found that a higher intake of fruits and vegetables is associated with a reduced risk of death from cardiovascular disease, with an average reduction in risk of 4% for each additional serving per day of fruit and vegetables. [2]
• The largest and longest study to date, done as part of the Harvard-based Nurses’ Health Study and Health Professionals Follow-up Study, included almost 110,000 men and women whose health and dietary habits were followed for 14 years.
• The higher the average daily intake of fruits and vegetables, the lower the chances of developing cardiovascular disease. Compared with those in the lowest category of fruit and vegetable intake (less than 1.5 servings a day), those who averaged 8 or more servings a day were 30% less likely to have had a heart attack or stroke. [3]
• Although all fruits and vegetables likely contributed to this benefit, green leafy vegetables, such as lettuce, spinach, Swiss chard, and mustard greens, were most strongly associated with decreased risk of cardiovascular disease. Cruciferous vegetables such as broccoli, cauliflower, cabbage, Brussels sprouts , bok choy, and kale ; and citrus fruits such as oranges, lemons, limes, and grapefruit (and their juices) also made important contributions. [3]
• When researchers combined findings from the Harvard studies with several other long-term studies in the U.S. and Europe, and looked at coronary heart disease and stroke separately, they found a similar protective effect: Individuals who ate more than 5 servings of fruits and vegetables per day had roughly a 20% lower risk of coronary heart disease [4] and stroke, [5] compared with individuals who ate less than 3 servings per day.

Blood pressure

• The  Dietary Approaches to Stop Hypertension (DASH) study [6] examined the effect on blood pressure of a diet that was rich in fruits, vegetables, and low-fat dairy products and that restricted the amount of saturated and total fat. The researchers found that people with high blood pressure who followed this diet reduced their systolic blood pressure (the upper number of a blood pressure reading) by about 11 mm Hg and their diastolic blood pressure (the lower number) by almost 6 mm Hg—as much as medications can achieve.
• A randomized trial known as the Optimal Macronutrient Intake Trial for Heart Health (OmniHeart) showed that this fruit and vegetable-rich diet lowered blood pressure even more when some of the carbohydrate was replaced with healthy unsaturated fat or protein. [7]
• In 2014 a meta-analysis of clinical trials and observational studies found that consumption of a vegetarian diet was associated with lower blood pressure. [8]

Numerous early studies revealed what appeared to be a strong link between eating fruits and vegetables and protection against cancer . Unlike case-control studies, cohort studies , which follow large groups of initially healthy individuals for years, generally provide more reliable information than case-control studies because they don’t rely on information from the past. And, in general, data from cohort studies have not consistently shown that a diet rich in fruits and vegetables prevents cancer.

• For example, over a 14-year period in the Nurses’ Health Study and the Health Professionals Follow-up Study, men and women with the highest intake of fruits and vegetables (8+ servings a day) were just as likely to have developed cancer as those who ate the fewest daily servings (under 1.5). [3]
• A meta-analysis of cohort studies found that a higher fruit and vegetable intake did not decrease the risk of deaths from cancer. [2]

A more likely possibility is that some types of fruits and vegetables may protect against certain cancers.

• A study by Farvid and colleagues followed a Nurses’ Health Study II cohort of 90,476 premenopausal women for 22 years and found that those who ate the most fruit during adolescence (about 3 servings a day) compared with those who ate the lowest intakes (0.5 servings a day) had a 25% lower risk of developing breast cancer. There was a significant reduction in breast cancer in women who had eaten higher intakes of apples, bananas , grapes, and corn during adolescence, and oranges and kale during early adulthood. No protection was found from drinking fruit juices at younger ages. [9]
• Farvid and colleagues followed 90, 534 premenopausal women from the Nurses’ Health Study II over 20 years and found that higher fiber intakes during adolescence and early adulthood were associated with a reduced risk of breast cancer later in life. When comparing the highest and lowest fiber intakes from fruits and vegetables, women with the highest fruit fiber intake had a 12% reduced risk of breast cancer; those with the highest vegetable fiber intake had an 11% reduced risk. [10]
• After following 182,145 women in the Nurses’ Health Study I and II for 30 years, Farvid’s team also found that women who ate more than 5.5 servings of fruits and vegetables each day (especially cruciferous and yellow/orange vegetables) had an 11% lower risk of breast cancer than those who ate 2.5 or fewer servings. Vegetable intake was strongly associated with a 15% lower risk of estrogen-receptor-negative tumors for every two additional servings of vegetables eaten daily. A higher intake of fruits and vegetables was associated with a lower risk of other aggressive tumors including HER2-enriched and basal-like tumors. [11]
• A report by the World Cancer Research Fund and the American Institute for Cancer Research suggests that non-starchy vegetables—such as lettuce and other leafy greens, broccoli, bok choy, cabbage, as well as garlic, onions, and the like—and fruits “probably” protect against several types of cancers, including those of the mouth, throat, voice box, esophagus, and stomach. Fruit probably also protects against lung cancer. [12]

Specific components of fruits and vegetables may also be protective against cancer. For example:

• A line of research stemming from a finding from the Health Professionals Follow-up Study suggests that tomatoes may help protect men against prostate cancer, especially aggressive forms of it. [12] One of the pigments that give tomatoes their red hue—lycopene—could be involved in this protective effect. Although several studies other than the Health Professionals Study have also demonstrated a link between tomatoes or lycopene and prostate cancer, others have not or have found only a weak connection. [14]
• Taken as a whole, however, these studies suggest that increased consumption of tomato-based products (especially cooked tomato products) and other lycopene-containing foods may reduce the occurrence of prostate cancer. [12] Lycopene is one of several carotenoids (compounds that the body can turn into vitamin A) found in brightly colored fruits and vegetables, and research suggests that foods containing carotenoids may protect against lung, mouth, and throat cancer. [12] But more research is needed to understand the exact relationship between fruits and vegetables, carotenoids, and cancer.

Some research looks specifically at whether individual fruits are associated with risk of type 2 diabetes. While there isn’t an abundance of research into this area yet, preliminary results are compelling.

• A study of over 66,000 women in the Nurses’ Health Study, 85,104 women from the Nurses’ Health Study II, and 36,173 men from the Health Professionals Follow-up Study—who were free of major chronic diseases—found that greater consumption of whole fruits—especially blueberries, grapes, and apples—was associated with a lower risk of type 2 diabetes. Another important finding was that greater consumption of fruit juice was associated with a higher risk of type 2 diabetes. [15]
• Additionally a study of over 70,000 female nurses aged 38-63 years, who were free of cardiovascular disease, cancer, and diabetes, showed that consumption of green leafy vegetables and fruit was associated with a lower risk of diabetes. While not conclusive, research also indicated that consumption of fruit juices may be associated with an increased risk among women. (16)
• A study of over 2,300 Finnish men showed that vegetables and fruits, especially berries, may reduce the risk of type 2 diabetes. [17]

Data from the Nurses’ Health Studies and the Health Professional’s Follow-up Study show that women and men who increased their intakes of fruits and vegetables over a 24-year period were more likely to have lost weight than those who ate the same amount or those who decreased their intake. Berries, apples, pears, soy, and cauliflower were associated with weight loss while starchier vegetables like potatoes, corn, and peas were linked with weight gain. [1] However, keep in mind that adding more produce into the diet won’t necessarily help with weight loss unless it replaces another food, such as refined carbohydrates of white bread and crackers.

Gastrointestinal health

Fruits and vegetables contain indigestible fiber, which absorbs water and expands as it passes through the digestive system. This can calm symptoms of an irritable bowel and, by triggering regular bowel movements, can relieve or prevent constipation. [18] The bulking and softening action of insoluble fiber also decreases pressure inside the intestinal tract and may help prevent diverticulosis. [19]

Eating fruits and vegetables can also keep your eyes healthy, and may help prevent two common aging-related eye diseases—cataracts and macular degeneration—which afflict millions of Americans over age 65. [20-23] Lutein and zeaxanthin, in particular, seem to reduce risk of cataracts. [24]

• Bertoia ML, Mukamal KJ, Cahill LE, Hou T, Ludwig DS, Mozaffarian D, Willett WC, Hu FB, Rimm EB. Changes in intake of fruits and vegetables and weight change in United States men and women followed for up to 24 years: analysis from three prospective cohort studies. PLoS medicine . 2015 Sep 22;12(9):e1001878.
• Wang X, Ouyang Y, Liu J, Zhu M, Zhao G, Bao W, Hu FB. Fruit and vegetable consumption and mortality from all causes, cardiovascular disease, and cancer: systematic review and dose-response meta-analysis of prospective cohort studies. BMJ . 2014 Jul 29;349:g4490.
• Hung HC, Joshipura KJ, Jiang R, Hu FB, Hunter D, Smith-Warner SA, Colditz GA, Rosner B, Spiegelman D, Willett WC. Fruit and vegetable intake and risk of major chronic disease. Journal of the National Cancer Institute . 2004 Nov 3;96(21):1577-84.
• He FJ, Nowson CA, Lucas M, MacGregor GA. Increased consumption of fruit and vegetables is related to a reduced risk of coronary heart disease: meta-analysis of cohort studies. Journal of human hypertension . 2007 Sep;21(9):717.
• He FJ, Nowson CA, MacGregor GA. Fruit and vegetable consumption and stroke: meta-analysis of cohort studies. The Lancet . 2006 Jan 28;367(9507):320-6.
• Appel LJ, Moore TJ, Obarzanek E, Vollmer WM, Svetkey LP, Sacks FM, Bray GA, Vogt TM, Cutler JA, Windhauser MM, Lin PH. A clinical trial of the effects of dietary patterns on blood pressure. New England Journal of Medicine . 1997 Apr 17;336(16):1117-24.
• Appel LJ, Sacks FM, Carey VJ, Obarzanek E, Swain JF, Miller ER, Conlin PR, Erlinger TP, Rosner BA, Laranjo NM, Charleston J. Effects of protein, monounsaturated fat, and carbohydrate intake on blood pressure and serum lipids: results of the OmniHeart randomized trial. JAMA . 2005 Nov 16;294(19):2455-64.
• Yokoyama Y, Nishimura K, Barnard ND, Takegami M, Watanabe M, Sekikawa A, Okamura T, Miyamoto Y. Vegetarian diets and blood pressure: a meta-analysis. JAMA internal medicine. 2014 Apr 1;174(4):577-87.
• Farvid MS, Chen WY, Michels KB, Cho E, Willett WC, Eliassen AH. Fruit and vegetable consumption in adolescence and early adulthood and risk of breast cancer: population based cohort study. BMJ . 2016 May 11;353:i2343.
• Farvid MS, Eliassen AH, Cho E, Liao X, Chen WY, Willett WC. Dietary fiber intake in young adults and breast cancer risk. Pediatrics . 2016 Mar 1;137(3):e20151226.
• Farvid MS, Chen WY, Rosner BA, Tamimi RM, Willett WC, Eliassen AH. Fruit and vegetable consumption and breast cancer incidence: Repeated measures over 30 years of follow‐up. International journal of cancer . 2018 Jul 6.
• Wiseman M. The Second World Cancer Research Fund/American Institute for Cancer Research Expert Report. Food, Nutrition, Physical Activity, and the Prevention of Cancer: A Global Perspective: Nutrition Society and BAPEN Medical Symposium on ‘Nutrition support in cancer therapy’. Proceedings of the Nutrition Society . 2008 Aug;67(3):253-6.
• Giovannucci E, Liu Y, Platz EA, Stampfer MJ, Willett WC. Risk factors for prostate cancer incidence and progression in the health professionals follow‐up study. International journal of cancer . 2007 Oct 1;121(7):1571-8.
• Kavanaugh CJ, Trumbo PR, Ellwood KC. The US Food and Drug Administration’s evidence-based review for qualified health claims: tomatoes, lycopene, and cancer. Journal of the National Cancer Institute . 2007 Jul 18;99(14):1074-85.
• Muraki I, Imamura F, Manson JE, Hu FB, Willett WC, van Dam RM, Sun Q. Fruit consumption and risk of type 2 diabetes: results from three prospective longitudinal cohort studies. BMJ . 2013 Aug 29;347:f5001.
• Bazzano LA, Li TY, Joshipura KJ, Hu FB. Intake of fruit, vegetables, and fruit juices and risk of diabetes in women. Diabetes Care . 2008 Apr 3.
• Mursu J, Virtanen JK, Tuomainen TP, Nurmi T, Voutilainen S. Intake of fruit, berries, and vegetables and risk of type 2 diabetes in Finnish men: the Kuopio Ischaemic Heart Disease Risk Factor Study–. The American journal of clinical nutrition . 2013 Nov 20;99(2):328-33.
• Lembo A, Camilleri M. Chronic constipation. New England Journal of Medicine . 2003 Oct 2;349(14):1360-8.
• Aldoori WH, Giovannucci EL, Rockett HR, Sampson L, Rimm EB, Willett AW. A prospective study of dietary fiber types and symptomatic diverticular disease in men. The Journal of nutrition . 1998 Oct 1;128(4):714-9.
• Brown L, Rimm EB, Seddon JM, Giovannucci EL, Chasan-Taber L, Spiegelman D, Willett WC, Hankinson SE. A prospective study of carotenoid intake and risk of cataract extraction in US men–. The American journal of clinical nutrition . 1999 Oct 1;70(4):517-24.
• Christen WG, Liu S, Schaumberg DA, Buring JE. Fruit and vegetable intake and the risk of cataract in women–. The American journal of clinical nutrition . 2005 Jun 1;81(6):1417-22.
• Moeller SM, Taylor A, Tucker KL, McCullough ML, Chylack Jr LT, Hankinson SE, Willett WC, Jacques PF. Overall adherence to the dietary guidelines for Americans is associated with reduced prevalence of early age-related nuclear lens opacities in women. The Journal of nutrition . 2004 Jul 1;134(7):1812-9.
• Cho E, Seddon JM, Rosner B, Willett WC, Hankinson SE. Prospective study of intake of fruits, vegetables, vitamins, and carotenoidsand risk of age-related maculopathy. Archives of Ophthalmology . 2004 Jun 1;122(6):883-92.
• Christen WG, Liu S, Glynn RJ, Gaziano JM, Buring JE. Dietary carotenoids, vitamins C and E, and risk of cataract in women: a prospective study. Archives of Ophthalmology . 2008 Jan 1;126(1):102-9.

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The contents of this website are for educational purposes and are not intended to offer personal medical advice. You should seek the advice of your physician or other qualified health provider with any questions you may have regarding a medical condition. Never disregard professional medical advice or delay in seeking it because of something you have read on this website. The Nutrition Source does not recommend or endorse any products.